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Tag: table
Bibliography items where occurs: 633
- The AI Index 2022 Annual Report / 2205.03468 / ISBN:https://doi.org/10.48550/arXiv.2205.03468 / Published by ArXiv / on (web) Publishing site
- Chapter 2 Technical Performance
Chapter 3 Technical AI Ethics
Chapter 4 The Economy and Education
Chapter 5 AI Policy and Governance
Appendix - Exciting, Useful, Worrying, Futuristic:
Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / ISBN:https://doi.org/10.48550/arXiv.2001.00081 / Published by ArXiv / on (web) Publishing site
- 3 Methodology
4 Findings
A Questionnaire - Selected Questions - Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / ISBN:https://doi.org/10.48550/arXiv.2109.07906 / Published by ArXiv / on (web) Publishing site
- 3 Research Method
5 Detail results and analysis - AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / ISBN:https://doi.org/10.48550/arXiv.2206.07635 / Published by ArXiv / on (web) Publishing site
- 3 Method
4 Results - The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / ISBN:https://doi.org/10.48550/arXiv.2206.03225 / Published by ArXiv / on (web) Publishing site
- 3 Study Methodology
4 Evaluation of Ethical AI Principles
5 Evaluation of Ethical Principle Implementations
6 Gap Mitigation - A Framework for Ethical AI at the United Nations / 2104.12547 / ISBN:https://doi.org/10.48550/arXiv.2104.12547 / Published by ArXiv / on (web) Publishing site
- Introductionn
1. Problems with AI
2. Defining ethical AI - Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / ISBN:https://doi.org/10.48550/arXiv.2206.11922 / Published by ArXiv / on (web) Publishing site
- 3 Methodology
4 Results
6 Conclusion - Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / ISBN:https://doi.org/10.48550/arXiv.2001.04335 / Published by ArXiv / on (web) Publishing site
- 3 The Problem with the Near/Long-Term Distinction
4 A Clearer Account of Research Priorities and Disagreements - ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / ISBN:https://doi.org/10.48550/arXiv.2106.11521 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
3 The ESR Process
4 Deployment and Evaluation
5 Discussion - On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / ISBN:https://doi.org/10.48550/arXiv.2111.01306 / Published by ArXiv / on (web) Publishing site
- 3 Practical Challengesof Ethical AI
- A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / Published by Kaggle / on (web) Publishing site
- Section 1: Introduction and concept
Section 2: History and prospective - What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / ISBN:https://doi.org/10.48550/arXiv.2205.03946 / Published by ArXiv / on (web) Publishing site
- 3 Methodology
4 Proposed competency framework for responsible AI practitioners
Appendix A supplementary material - GPT detectors are biased against non-native English writers / 2304.02819 / ISBN:https://doi.org/10.48550/arXiv.2304.02819 / Published by ArXiv / on (web) Publishing site
- Introduction
Discussion - Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / ISBN:https://doi.org/10.48550/arXiv.2304.08275 / Published by ArXiv / on (web) Publishing site
- Abstract
I. Introduction
III. Interactions between Aspects
IV. Concluding Remarks - QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / ISBN:https://doi.org/10.48550/arXiv.2305.09300 / Published by ArXiv / on (web) Publishing site
- 2 The Question Bank: QB4AIRA
- A multilevel framework for AI governance / 2307.03198 / ISBN:https://doi.org/10.48550/arXiv.2307.03198 / Published by ArXiv / on (web) Publishing site
- 4. Corporate Self-Governance
6. Psychology of Trust
8. Ethics and Trust Lenses in the Multilevel Framework - From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts / 2307.15452 / ISBN:https://doi.org/10.48550/arXiv.2307.15452 / Published by ArXiv / on (web) Publishing site
- 2. Method
3. Results - The Ethics of AI Value Chains / 2307.16787 / ISBN:https://doi.org/10.48550/arXiv.2307.16787 / Published by ArXiv / on (web) Publishing site
- 3. Methodology
4. Ethical Implications of AI Value Chains - Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / ISBN:https://doi.org/10.48550/arXiv.2308.02030 / Published by ArXiv / on (web) Publishing site
- Results
- Regulating AI manipulation: Applying Insights from behavioral economics and psychology to enhance the practicality of the EU AI Act / 2308.02041 / ISBN:https://doi.org/10.48550/arXiv.2308.02041 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Clarifying Terminologies of Article-5: Insights from Behavioral Economics and Psychology - From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / ISBN:https://doi.org/10.48550/arXiv.2308.02448 / Published by ArXiv / on (web) Publishing site
- Abstract
Introduction
What is Generative Artificial Intelligence?
Applications in Military Versus Healthcare
Identifying Ethical Concerns and Risks
GREAT PLEA Ethical Principles for Generative AI in Healthcare - Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / ISBN:https://doi.org/10.48550/arXiv.2308.02678 / Published by ArXiv / on (web) Publishing site
- Introduction
- Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / ISBN:https://doi.org/10.48550/arXiv.2308.04448 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
4 Centralized regulation in the US context
5 Crowdsourced safety mechanism
6 The dual governance framework
7 Limitations
8 Conclusion - Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / ISBN:https://doi.org/10.48550/arXiv.2208.12616 / Published by ArXiv / on (web) Publishing site
- 2 Methodology
3 Taxonomy of ethical principles
4 Previous operationalisation of ethical principles
5 Gaps in operationalising ethical principles
A Methodology - Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / ISBN:https://doi.org/10.48550/arXiv.2211.06326 / Published by ArXiv / on (web) Publishing site
- Introduction
Responsibility in War
Moral Injury
Human Factors
AI Workplace Health and Safety Framework
Discussion - The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / ISBN:https://doi.org/10.48550/arXiv.2304.09823 / Published by ArXiv / on (web) Publishing site
- 2 Results
3 Discussion - A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / ISBN:https://doi.org/10.48550/arXiv.2305.11391 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Large Language Models
3 Vulnerabilities, Attack, and Limitations
5 Falsification and Evaluation
6 Verification
7 Runtime Monitor
8 Regulations and Ethical Use
9 Discussions - Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / ISBN:https://doi.org/10.48550/arXiv.2308.00121 / Published by ArXiv / on (web) Publishing site
- 2 Background
3 LLM-based penetration testing
4 Discussion
5 A vision of AI-augmented pen-testing - Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / ISBN:https://doi.org/10.48550/arXiv.2308.09979 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Results
3 Discussion
5 Supplementary material - Targeted Data Augmentation for bias mitigation / 2308.11386 / ISBN:https://doi.org/10.48550/arXiv.2308.11386 / Published by ArXiv / on (web) Publishing site
- 5 Conclusions
- Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / ISBN:https://doi.org/10.48550/arXiv.2308.11649 / Published by ArXiv / on (web) Publishing site
- 7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques
11 Bias Awareness: Navigating AI-Generated Content in Education
12 The Future Landscape: Creative AI Tools and Game-Based Methodologies in Education
14 Conclusion & Discussion - Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / ISBN:https://doi.org/10.48550/arXiv.2308.12885 / Published by ArXiv / on (web) Publishing site
- 2 Related Work on Data Excellence
3 Reliability and Reproducibility Metrics for Responsible Data Collection
4 Published Annotation Tasks and Datasets
5 Results
6 Discussion
A Agreement Analysis
B Variability Analysis
D Stability analysis - Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph / 2308.13534 / ISBN:https://doi.org/10.48550/arXiv.2308.13534 / Published by ArXiv / on (web) Publishing site
- V. Market analysis of LLMs and cross-industry use cases
VI. Solution architecture for privacy-aware and trustworthy conversational AI
Appendix A industry-wide LLM usecases - The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / ISBN:https://doi.org/10.48550/arXiv.2308.14253 / Published by ArXiv / on (web) Publishing site
- 2 The evolution of artificial intelligence: from theory to general capabilities
5 Research directions in AI safety and violet teaming
6 A pathway for balanced AI innovation
10 Supplemental & additional details - Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / ISBN:https://doi.org/10.48550/arXiv.2308.14301 / Published by ArXiv / on (web) Publishing site
- 4 Results and discussion
- Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / ISBN:https://doi.org/10.48550/arXiv.2308.15399 / Published by ArXiv / on (web) Publishing site
- 3 Theory and Method
4 Experiment - The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / ISBN:https://doi.org/10.48550/arXiv.2308.16538 / Published by ArXiv / on (web) Publishing site
- Table of contents and index
Executive summary
2 Key AI technology in financial services
3 Benefits of AI use in the finance sector
4 Threaths & potential pitfalls
5 Challenges
6 Regulation of AI and regulating through AI
7 Recommendations - Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / ISBN:https://doi.org/10.48550/arXiv.2309.00064 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Black box and lack of transparency
3 Bias and fairness
4 Human-centric AI
5 Ethical concerns and value alignment
6 Way forward - The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie / 2309.02029 / ISBN:https://doi.org/10.48550/arXiv.2309.02029 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Related work
3. ChatGPT Training Process
4. Methods - Pathway to Future Symbiotic Creativity / 2209.02388 / ISBN:https://doi.org/10.48550/arXiv.2209.02388 / Published by ArXiv / on (web) Publishing site
- Introduction
Part 1 - 1 Generatives Systems: Mimicking Artifacts
Part 2 - 1 Biometric Signal Sensing Technologies and Emotion Data
Part 2 - 2 Motion Caputer Technologies and Motion Data
Part 2 - 3 Photogrammetry / Volumetric Capture
Part 2 - 5 Immersive Visualisation: Machine to Human Manifestations
Part 3 - 1 Challenges in Endowing Machines with Creative Abilities
Part 3 - 2 Machine Artist Models
Part 3 - 3 Comparison with Generative Models
Part 3 - 4 Demonstration of the Proposed Framework
Part 4 NFTs and the Future Art Economy
Part 5 - 1 Authorship and Ownership of AI-generated Works of Artt
Part 5 - 2 Algorithmics Bias in Art Generation
Part 5 - 3 Democratization of Art with new Technologies - FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging / 2109.09658 / ISBN:https://doi.org/10.48550/arXiv.2109.09658 / Published by ArXiv / on (web) Publishing site
- 2. Fairness - For Equitable AI in Medical Imaging
4. Traceability - For Transparent and Dynamic AI in Medical Imaging
6. Robustness - For Reliable AI in Medical Imaging
7. Explainability - For Enhanced Understanding of AI in Medical Imaging
8. FUTURE-AI Quality Check
9. Discussion and Conclusion - The Cambridge Law Corpus: A Corpus for Legal AI Research / 2309.12269 / ISBN:https://doi.org/10.48550/arXiv.2309.12269 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 The Cambridge Law Corpus
3 Legal and Ethical Considerations
4 Experiments
Legal References
A Detailed Information on Corpus Content
C Case Outcome Task Description
D Case Outcome Annotation Instructions
Cambridge Law Corpus: Datasheet - EALM: Introducing Multidimensional Ethical Alignment in
Conversational Information Retrieval / 2310.00970 / ISBN:https://doi.org/10.48550/arXiv.2310.00970 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Dataset Construction
4 Modeling Ethics
5 Experiments
Appendix - Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities / 2310.08565 / ISBN:https://doi.org/10.48550/arXiv.2310.08565 / Published by ArXiv / on (web) Publishing site
- II. AI-Robotics Systems Architecture
IV. Attack Surfaces
V. Ethical & Legal Concerns
VII. Future Research & Discussion - If our aim is to build morality into an artificial agent, how might we begin to go about doing so? / 2310.08295 / ISBN:https://doi.org/10.48550/arXiv.2310.08295 / Published by ArXiv / on (web) Publishing site
- 3 Proposing a Hybrid Approach
4 AI Governance Principles - Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks / 2310.07879 / ISBN:https://doi.org/10.48550/arXiv.2310.07879 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Method
4 Taxonomy of AI Privacy Risks
5 Discussion - ClausewitzGPT Framework: A New Frontier in Theoretical Large Language Model Enhanced Information Operations / 2310.07099 / ISBN:https://doi.org/10.48550/arXiv.2310.07099 / Published by ArXiv / on (web) Publishing site
- Introduction
Ethical and Strategic Considerations: AI Mediators in the Age of LLMs - The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements / 2310.06269 / ISBN:https://doi.org/10.48550/arXiv.2310.06269 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Research Design and Methodology
3 Analysis and Findings
5 Conclusion
B Pre-class Questionnaire (Verbatim)
C In-class Activity
G Statistical Tests - A Review of the Ethics of Artificial Intelligence and its Applications in the United States / 2310.05751 / ISBN:https://doi.org/10.48550/arXiv.2310.05751 / Published by ArXiv / on (web) Publishing site
- 2. Literature Review
3. AI Ethical Principles
4. Implementing the Practical Use of Ethical AI Applications
5. Conclusions and Recommendations
Authors - A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics / 2310.05694 / ISBN:https://doi.org/10.48550/arXiv.2310.05694 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. What LLMs can do for healthcare? from fundamental tasks to advanced applications
3. From PLMs to LLMs for healthcare
4. Usage and data for healthcare LLM
5. Improving fairness, accountability, transparency, and ethics
6. Discussion - STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models / 2310.05563 / ISBN:https://doi.org/10.48550/arXiv.2310.05563 / Published by ArXiv / on (web) Publishing site
- 2 STREAM: Social data and knowledge collective intelligence platform for TRaining
Ethical AI Models
3 The applications of STREAM - Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry / 2310.05414 / ISBN:https://doi.org/10.48550/arXiv.2310.05414 / Published by ArXiv / on (web) Publishing site
- 3. Ethics of AI and Robotics
4. Systematic Review and Scientometric Analysis
5. Ethical Issues of AI and Robotics in AEC Industry - Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search / 2310.04892 / ISBN:https://doi.org/10.48550/arXiv.2310.04892 / Published by ArXiv / on (web) Publishing site
- Introduction
Pilot Study: Text SERPs with Ads
Evaluation of the Pilot Study
Ethics of GEnerating Native Ads - Compromise in Multilateral Negotiations and the Global Regulation of Artificial Intelligence / 2309.17158 / ISBN:https://doi.org/10.48550/arXiv.2309.17158 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. The practice of multilateral negotiation and the mechanisms of compromises
3. The liberal-sovereigntist multiplicity
4. Towards a compromise: drafting the normative hybridity
5. Text negotiations as normative testing
6. Conclusion - Towards A Unified Utilitarian Ethics Framework for Healthcare Artificial Intelligence / 2309.14617 / ISBN:https://doi.org/10.48550/arXiv.2309.14617 / Published by ArXiv / on (web) Publishing site
- Why Ethics
Principal Ethics in Healthcare
Method
Results and Discussion - Risk of AI in Healthcare: A Comprehensive Literature Review and Study Framework / 2309.14530 / ISBN:https://doi.org/10.48550/arXiv.2309.14530 / Published by ArXiv / on (web) Publishing site
- 2. Methods for Comprehensive Review
4. Technical Risks
Appendix - Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward / 2309.14213 / ISBN:https://doi.org/10.48550/arXiv.2309.14213 / Published by ArXiv / on (web) Publishing site
- Table of Contents
2. Autonomous vehicles
3. Existing Models
5. Cybersecurity Risks
6. Risk management
7. Issues - The Return on Investment in AI Ethics: A Holistic Framework / 2309.13057 / ISBN:https://doi.org/10.48550/arXiv.2309.13057 / Published by ArXiv / on (web) Publishing site
- 4. A Holistic Framework
- An Evaluation of GPT-4 on the ETHICS Dataset / 2309.10492 / ISBN:https://doi.org/10.48550/arXiv.2309.10492 / Published by ArXiv / on (web) Publishing site
- 2 Datasets and Methods
3 Results
4 Discussion
A GPT-4’s Training Set Personality Profile - Who to Trust, How and Why: Untangling AI Ethics Principles, Trustworthiness and Trust / 2309.10318 / ISBN:https://doi.org/10.48550/arXiv.2309.10318 / Published by ArXiv / on (web) Publishing site
- Trust
Trust and AI Ethics Principles
Trust in AI as Socio-Technical Systems - In Consideration of Indigenous Data Sovereignty: Data Mining as a Colonial Practice / 2309.10215 / ISBN:https://doi.org/10.48550/arXiv.2309.10215 / Published by ArXiv / on (web) Publishing site
- 3 Objectives
4 Methodology
5 Relating Case Studies to Indigenous Data Sovereignty and CARE Principles - AI & Blockchain as sustainable teaching and learning tools to cope with the 4IR / 2305.01088 / ISBN:https://doi.org/10.48550/arXiv.2305.01088 / Published by ArXiv / on (web) Publishing site
- 2. AI and blockchain in education: An overview of the benefits and
challenges
5. AI-powered assessment and evaluation
6. Blockchain-based decentralized learning networks - A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice / 2304.11530 / ISBN:https://doi.org/10.48550/arXiv.2304.11530 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Ethical concerns of AI in medicine
4 Towards solving key ethical challenges in Medical AI
5 Ethical guidelines for medical AI model deployment - Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering / 2209.04963 / ISBN:https://doi.org/10.48550/arXiv.2209.04963 / Published by ArXiv / on (web) Publishing site
- 2 Methodology
3 Governance Patterns
4 Process Patterns
5 Product Patterns - The Ethics of AI Value Chains / 2307.16787 / ISBN:https://doi.org/10.48550/arXiv.2307.16787 / Published by ArXiv / on (web) Publishing site
- Appendix A: Integrated Inventory of Ethical Concerns, Value Chains
Actors, Resourcing Activities, & Sampled Sources
- FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare / 2309.12325 / ISBN:https://doi.org/10.48550/arXiv.2309.12325 / Published by ArXiv / on (web) Publishing site
- METHODS
FUTURE-AI GUIDELINE
DISCUSSION - Language Agents for Detecting Implicit Stereotypes in Text-to-Image Models at Scale / 2310.11778 / ISBN:https://doi.org/10.48550/arXiv.2310.11778 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Agent Benchmark
5 Related Work
Appendix A Data Details
Appendix B Experiment Details - Specific versus General Principles for Constitutional AI / 2310.13798 / ISBN:https://doi.org/10.48550/arXiv.2310.13798 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 AI feedback on specific problematic AI traits
3 Generalization from a Simple Good for Humanity Principle
6 Discussion
B Trait Preference Modeling
C General Prompts for GfH Preference Modeling
D Generalization to Other Traits
H Samples
I Responses on Prompts from PALMS, LaMDA, and InstructGPT - The Self 2.0: How AI-Enhanced Self-Clones Transform Self-Perception
and Improve Presentation Skills / 2310.15112 / ISBN:https://doi.org/10.48550/arXiv.2310.15112 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
3 Method
4 Findings
5 Discussion
Annexed tables - Systematic AI Approach for AGI:
Addressing Alignment, Energy, and AGI Grand Challenges / 2310.15274 / ISBN:https://doi.org/10.48550/arXiv.2310.15274 / Published by ArXiv / on (web) Publishing site
- 2 Trifecta of AI Challenges
- AI Alignment and Social Choice: Fundamental
Limitations and Policy Implications / 2310.16048 / ISBN:https://doi.org/10.48550/arXiv.2310.16048 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Reinforcement Learning with Multiple Reinforcers
3 Arrow-Sen Impossibility Theorems for RLHF - A Comprehensive Review of
AI-enabled Unmanned Aerial Vehicle:
Trends, Vision , and Challenges / 2310.16360 / ISBN:https://doi.org/10.48550/arXiv.2310.16360 / Published by ArXiv / on (web) Publishing site
- III. UAV Platform Type
IV. Artificial Intelligence Embedded UAV
V. Challenges and Future Aspect on AI Enabled UAV
VI. Review Summary - Unpacking the Ethical Value Alignment in Big Models / 2310.17551 / ISBN:https://doi.org/10.48550/arXiv.2310.17551 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Risks and Ethical Issues of Big Model
3 Investigating the Ethical Values of Large Language Models
5 Conclusion - Moral Responsibility for AI Systems / 2310.18040 / ISBN:https://doi.org/10.48550/arXiv.2310.18040 / Published by ArXiv / on (web) Publishing site
- 5 The Epistemic Condition
Appendix - AI for Open Science: A Multi-Agent Perspective for
Ethically Translating Data to Knowledge / 2310.18852 / ISBN:https://doi.org/10.48550/arXiv.2310.18852 / Published by ArXiv / on (web) Publishing site
- 3 A Formal Language of AI for Open Science
4 Optimizing an Openness Metric in AI for Science
6 Conclusion and Future Work - Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a
focus group report / 2311.00903 / ISBN:https://doi.org/10.48550/arXiv.2311.00903 / Published by ArXiv / on (web) Publishing site
- AI Ethics in Cybersecurity
- Human participants in AI research: Ethics and transparency in practice / 2311.01254 / ISBN:https://doi.org/10.48550/arXiv.2311.01254 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Contextual Concerns: Why AI Research Needs its Own Guidelines
III. Ethical Principles for AI Research with Human Participants
IV. Principles in Practice: Guidelines for AI Research with Human Participants
Appendix A Evaluating Current Practices for Human-Participants Research - LLMs grasp morality in concept / 2311.02294 / ISBN:https://doi.org/10.48550/arXiv.2311.02294 / Published by ArXiv / on (web) Publishing site
- 2 A General Theory of Meaning
4 The Moral Model - Towards Effective Paraphrasing for Information
Disguise / 2311.05018 / ISBN:https://doi.org/10.1007/978-3-031-28238-6_22 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
3 Methodology
4 Evaluation - Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics / 2311.05227 / ISBN:https://doi.org/10.48550/arXiv.2311.05227 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Overview of Kantian Deontology
4 Deontological AI Alignment
5 Aligning with Deontological Principles: Use Cases
6 Conclusion - Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing / 2304.02017 / ISBN:https://doi.org/10.48550/arXiv.2304.02017 / Published by ArXiv / on (web) Publishing site
- 2 Overview of ChatGPT and its capabilities
3 Transformers and pre-trained language models
4 Applications of ChatGPT in real-world scenarios
5 Advantages of ChatGPT in natural language processing
6 Limitations and potential challenges
7 Ethical considerations when using ChatGPT
8 Prompt engineering and generation
10 Future directions for ChatGPT in vision domain - Fairness And Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, And Mitigation Strategies / 2304.07683 / ISBN:https://doi.org/10.48550/arXiv.2304.07683 / Published by ArXiv / on (web) Publishing site
- II. Sources of bias in AI
III. Impacts of bias in AI
IV. Mitigation strategies for bias in AI
V. Fairness in AI
VI. Mitigation strategies for fairness in AI - Towards ethical multimodal systems / 2304.13765 / ISBN:https://doi.org/10.48550/arXiv.2304.13765 / Published by ArXiv / on (web) Publishing site
- 3 Crafting an Ethical Dataset
4 A Multimodal Ethics Classifier - A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting) / 2310.04438 / ISBN:https://doi.org/10.48550/arXiv.2310.04438 / Published by ArXiv / on (web) Publishing site
- III. Prehistoric prompting: pre NN-era
IV. History of NLP between 2010 and 2015: the pre-attention mechanism era
VII. The second wave in 2017: rise of RL
IX. 2019: THE YEAR OF CONTROL
X. 2020-2021: the rise of LLMS
XI. 2022-current: beyond language generation
XII. Conclusions - Synergizing Human-AI Agency: A Guide of 23 Heuristics for Service Co-Creation with LLM-Based Agents / 2310.15065 / ISBN:https://doi.org/10.48550/arXiv.2310.15065 / Published by ArXiv / on (web) Publishing site
- 2 Related work
3 Method
4 Findings
5 Discussion - She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models / 2310.18333 / ISBN:https://doi.org/10.48550/arXiv.2310.18333 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 ReFLeCT: Robust, Fair, and Safe LLM Construction Test Suite
4 Empirical Evaluation and Outcomes - Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control / 2311.08943 / ISBN:https://doi.org/10.48550/arXiv.2311.08943 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Safety
IV. Trust
V. Ethics
VI. Conclusion - How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities / 2311.09447 / ISBN:https://doi.org/10.48550/arXiv.2311.09447 / Published by ArXiv / on (web) Publishing site
- 3 Methodology
4 Experiments - Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown / 2311.09731 / ISBN:https://doi.org/10.48550/arXiv.2311.09731 / Published by ArXiv / on (web) Publishing site
- 2 UnknownBench: Evaluating LLMs on
the Unknown
3 Experiments
D Additional Results and Figures - Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs / 2311.09976 / ISBN:https://doi.org/10.48550/arXiv.2311.09976 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Chatbots Background and Scope of Research
3. Chatbot approaches overview: Taxonomy of existing methods
4. ChatGPT
6. Open chanllenges
7. Future Research Directions - Practical Cybersecurity Ethics: Mapping CyBOK to Ethical Concerns / 2311.10165 / ISBN:https://doi.org/10.48550/arXiv.2311.10165 / Published by ArXiv / on (web) Publishing site
- 2 Background
3 Methodology
4 Findings
5 Discussion
6 Limitations
A Ethics of the cyber security profession: interview guide - First, Do No Harm:
Algorithms, AI, and Digital Product Liability
Managing Algorithmic Harms Though Liability Law and Market Incentives / 2311.10861 / ISBN:https://doi.org/10.48550/arXiv.2311.10861 / Published by ArXiv / on (web) Publishing site
- Bloustein Local and the Center for Urban Policy Research
Appendix A - What is an Algorithmic Harm? And a Bibliography - Case Repositories: Towards Case-Based Reasoning for AI Alignment / 2311.10934 / ISBN:https://doi.org/10.48550/arXiv.2311.10934 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Proposed Process - Responsible AI Considerations in Text Summarization Research: A Review of Current Practices / 2311.11103 / ISBN:https://doi.org/10.48550/arXiv.2311.11103 / Published by ArXiv / on (web) Publishing site
- 4 Findings
5 Discussion and Recommendations
B Methodology - Assessing AI Impact Assessments: A Classroom Study / 2311.11193 / ISBN:https://doi.org/10.48550/arXiv.2311.11193 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Findings
5 Discussion
Acknowledgments and Disclosure of Funding
A Overview of AIIA Instruments
B Study Materials - GPT in Data Science: A Practical Exploration of Model Selection / 2311.11516 / ISBN:https://doi.org/10.48550/arXiv.2311.11516 / Published by ArXiv / on (web) Publishing site
- III. Approach: capturing and representing heuristics behind GPT's decision-making process
IV. Comparative results - Responsible AI Research Needs Impact Statements Too / 2311.11776 / ISBN:https://doi.org/10.48550/arXiv.2311.11776 / Published by ArXiv / on (web) Publishing site
- Requiring adverse impact statements for RAI research is long overdue
- Large Language Models in Education: Vision and Opportunities / 2311.13160 / ISBN:https://doi.org/10.48550/arXiv.2311.13160 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Key technologies for EDULLMS
IV. LLM-empowered education
VI. Challenges and future directions - Towards Auditing Large Language Models: Improving Text-based Stereotype Detection / 2311.14126 / ISBN:https://doi.org/10.48550/arXiv.2311.14126 / Published by ArXiv / on (web) Publishing site
- 2 Related Works
4 Results and Discussion
5 Conclusion and Future Work
6 Appendix - Ethical Implications of ChatGPT in Higher Education: A Scoping Review / 2311.14378 / ISBN:https://doi.org/10.48550/arXiv.2311.14378 / Published by ArXiv / on (web) Publishing site
- Research Method
Results - Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review / 2311.14381 / ISBN:https://doi.org/10.48550/arXiv.2311.14381 / Published by ArXiv / on (web) Publishing site
- Abstract
Overview of Societal Biases in GAI Models
Analytical Framework
Methodology
Findings
Discussion
Conclusion - RAISE -- Radiology AI Safety, an End-to-end lifecycle approach / 2311.14570 / ISBN:https://doi.org/10.48550/arXiv.2311.14570 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
3. Production deployment monitoring phase
4. Post-market surveillance phase - Ethics and Responsible AI Deployment / 2311.14705 / ISBN:https://doi.org/10.48550/arXiv.2311.14705 / Published by ArXiv / on (web) Publishing site
- 4. Addressing bias, transparency, and accountability
7. Establishing responsible AI governance and oversight
8. AI in sensitive domains: healthcare, finance, criminal justice, defence, and human resources
9. Discussion on engaging stakeholders: fostering dialogue and collaboration between developers, users, and affected communities. - From deepfake to deep useful: risks and opportunities through a systematic literature review / 2311.15809 / ISBN:https://doi.org/10.48550/arXiv.2311.15809 / Published by ArXiv / on (web) Publishing site
- 2. Material and methods
- Generative AI and US Intellectual Property Law / 2311.16023 / ISBN:https://doi.org/10.48550/arXiv.2311.16023 / Published by ArXiv / on (web) Publishing site
- I. Very slowly then all-at-once
III. US Copyright law
V. Potential harms and mitigation - Survey on AI Ethics: A Socio-technical Perspective / 2311.17228 / ISBN:https://doi.org/10.48550/arXiv.2311.17228 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Transparency and explainability
4 Fairness and equity
5 Responsiblity, accountability, and regulations - Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models / 2311.17394 / ISBN:https://doi.org/10.48550/arXiv.2311.17394 / Published by ArXiv / on (web) Publishing site
- Abstract
I. Introduction
II. Background
V. Technical defense mechanisms
VI. Cross-platform strategies
VII. Ethical considerations
X. Conclusion - Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective / 2311.18252 / ISBN:https://doi.org/10.48550/arXiv.2311.18252 / Published by ArXiv / on (web) Publishing site
- 2 Legal Basis of Privacy and Copyright Concerns over Generative AI
3 Mapping Challenges throughout the Data Lifecycle - From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety / 2312.02078 / ISBN:https://doi.org/10.48550/arXiv.2312.02078 / Published by ArXiv / on (web) Publishing site
- Introduction
Software system features
System Evaluation and Results - Understanding Teacher Perspectives and Experiences after Deployment of AI Literacy Curriculum in Middle-school Classrooms / 2312.04839 / ISBN:https://doi.org/10.48550/arXiv.2312.04839 / Published by ArXiv / on (web) Publishing site
- 3 Results
- Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines / 2312.05235 / ISBN:https://doi.org/10.48550/arXiv.2312.05235 / Published by ArXiv / on (web) Publishing site
- 2. Research questions
4. Method
5. Results - Contra generative AI detection in higher education assessments / 2312.05241 / ISBN:https://doi.org/10.48550/arXiv.2312.05241 / Published by ArXiv / on (web) Publishing site
- 3. Detectors are not useful
4. Teach critical usage of AI
5. Conclusion - Intelligence Primer / 2008.07324 / ISBN:https://doi.org/10.48550/arXiv.2008.07324 / Published by ArXiv / on (web) Publishing site
- 8 Consciousness
11 Control of intelligence - RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems / 2306.01774 / ISBN:https://doi.org/10.48550/arXiv.2306.01774 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
3 Methodology
4 Results & analysis
5 Discussion - Ethical Considerations Towards Protestware / 2306.10019 / ISBN:https://doi.org/10.48550/arXiv.2306.10019 / Published by ArXiv / on (web) Publishing site
- II. Background
III. Ethics: a primer - Control Risk for Potential Misuse of Artificial Intelligence in Science / 2312.06632 / ISBN:https://doi.org/10.48550/arXiv.2312.06632 / Published by ArXiv / on (web) Publishing site
- 3 Control the Risks of AI Models in Science
4 Call for Responsible AI for Science
6 Related Works
Appendix D Details of Benchmark Results - Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates / 2312.06861 / ISBN:https://doi.org/10.48550/arXiv.2312.06861 / Published by ArXiv / on (web) Publishing site
- ...
Study 1: Geo-cultural Differences in Offensiveness
Study 2: Moral Foundations of Offensiveness
General Discussion
Moral Factors
A Appendix - The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment / 2312.07086 / ISBN:https://doi.org/10.48550/arXiv.2312.07086 / Published by ArXiv / on (web) Publishing site
- Abstract
The AI Assessment Scale
Conclusion - Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions / 2312.08467 / ISBN:https://doi.org/10.48550/arXiv.2312.08467 / Published by ArXiv / on (web) Publishing site
- Culturally responsive AI – current landscape
- Investigating Responsible AI for Scientific Research: An Empirical Study / 2312.09561 / ISBN:https://doi.org/10.48550/arXiv.2312.09561 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Research methodology
IV. Results
V. Discussion
Appendix B – Interview Questionnaire
Author’s Biographies - Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health / 2312.11803 / ISBN:https://doi.org/10.48550/arXiv.2312.11803 / Published by ArXiv / on (web) Publishing site
- 2 Background and significance
3 Materials and methods
4 Results
B Extended Guiding Principles
C Full survey questions - Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems / 2312.12559 / ISBN:https://doi.org/10.48550/arXiv.2312.12559 / Published by ArXiv / on (web) Publishing site
- 2 The Reign of Algorithmic Fairness
3 Taking a Step Forward - Learning Human-like Representations to Enable Learning Human Values / 2312.14106 / ISBN:https://doi.org/10.48550/arXiv.2312.14106 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Related Work
3 Problem Formulation
4 Learning Human Morality Judgments
5 Representational Alignment Supports Learning Multiple Human Values - Improving Task Instructions for Data Annotators: How Clear Rules and Higher Pay Increase Performance in Data Annotation in the AI Economy / 2312.14565 / ISBN:https://doi.org/10.48550/arXiv.2312.14565 / Published by ArXiv / on (web) Publishing site
- II. Theoretical background and hypotheses
III. Method
IV. Results
V. Discussion
Appendix - Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning / 2312.17479 / ISBN:https://doi.org/10.48550/arXiv.2312.17479 / Published by ArXiv / on (web) Publishing site
- Introduction
Methods - Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence / 2401.00286 / ISBN:https://doi.org/10.48550/arXiv.2401.00286 / Published by ArXiv / on (web) Publishing site
- 4. State-of-the-art AI techniques in autonomous threat hunting
5. Challenges in autonomous threat hunting
6. Case studies and applications
7. Evaluation metrics and performance benchmarks
8. Future directions and emerging trends - Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review / 2401.01519 / ISBN:https://doi.org/10.48550/arXiv.2401.01519 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. LLMs in cognitive and behavioral psychology
3. LLMs in clinical and counseling psychology
4. LLMs in educational and developmental psychology
5. LLMs in social and cultural psychology
6. LLMs as research tools in psychology
7. Challenges and future directions - Synthetic Data in AI: Challenges, Applications, and Ethical Implications / 2401.01629 / ISBN:https://doi.org/10.48550/arXiv.2401.01629 / Published by ArXiv / on (web) Publishing site
- 2. The generation of synthetic data
3. The usage of synthetic data
4. Risks and Challenges in Utilizing Synthetic Datasets for AI - MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework / 2401.01955 / ISBN:https://doi.org/10.48550/arXiv.2401.01955 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Methodology: model development
IV. System design
V. Evaluation
VI. Discussion and future work
VII. Conclusion - AI Ethics Principles in Practice: Perspectives of Designers and Developers / 2112.07467 / ISBN:https://doi.org/10.48550/arXiv.2112.07467 / Published by ArXiv / on (web) Publishing site
- II. Related work
III. Methods
IV. Results
V. Discussion and suggestions
VI. Support mechanisms
VII. Conclusion - Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models / 2310.19917 / ISBN:https://doi.org/10.48550/arXiv.2310.19917 / Published by ArXiv / on (web) Publishing site
- Background and significance
Materials and methods
Results
Discussion
Conclusion - Resolving Ethics Trade-offs in Implementing Responsible AI / 2401.08103 / ISBN:https://doi.org/10.48550/arXiv.2401.08103 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Approaches for Resolving Trade-offs
III. Discussion and Recommendations
IV. Concluding Remarks - Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making / 2401.08691 / ISBN:https://doi.org/10.48550/arXiv.2401.08691 / Published by ArXiv / on (web) Publishing site
- Contents / List of figures / List of tables / Acronyms
I Understanding bias - 2 Bias and moral framework in AI-based decision making
3 Bias on demand: a framework for generating synthetic data with bias
4 Fairness metrics landscape in machine learning
II Mitigating bias - 5 Fairness mitigation
6 FFTree: a flexible tree to mitigate multiple fairness criteria
III Accounting for bias - 7 Addressing fairness in the banking sector
8 Fairview: an evaluative AI support for addressing fairness
9 Towards fairness through time
IV Conclusions - Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems / 2401.09473 / ISBN:https://doi.org/10.48550/arXiv.2401.09473 / Published by ArXiv / on (web) Publishing site
- 3 Method
- FAIR Enough How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? / 2401.11033 / ISBN:https://doi.org/10.48550/arXiv.2401.11033 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 FAIR Data Principles: Theoretical Background and Significance
3 Data Management Challenges in Large Language Models
4 Framework for FAIR Data Principles Integration in LLM Development
5 Discussion
Appendices - Enabling Global Image Data Sharing in the Life Sciences / 2401.13023 / ISBN:https://doi.org/10.48550/arXiv.2401.13023 / Published by ArXiv / on (web) Publishing site
- 1. Motivation for White Paper
2. Background
3. Use cases representing different image data types and their challenges and status for sharing
4. Towards global image data sharing - Beyond principlism: Practical strategies for ethical AI use in research practices / 2401.15284 / ISBN:https://doi.org/10.48550/arXiv.2401.15284 / Published by ArXiv / on (web) Publishing site
- 1 The “Triple-Too” problem of AI ethics
2 A shift to user-centered realism in scientific contexts
3 Five specific goals and action-guiding strategies for ethical AI use in research practices
4 Concluding remarks - A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations / 2401.17486 / ISBN:https://doi.org/10.48550/arXiv.2401.17486 / Published by ArXiv / on (web) Publishing site
- 3 Methods
4 RAI tool evaluation practices
5 Towards evaluation of RAI tool effectiveness
6 Limitations
B RAI tools listed by target stage of AI development - Detecting Multimedia Generated by Large AI Models: A Survey / 2402.00045 / ISBN:https://doi.org/10.48550/arXiv.2402.00045 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Generation
3 Detection
4 Tools and Evaluation Metrics
5 Discussion
6 Conclusion - Responsible developments and networking research: a reflection beyond a paper ethical statement / 2402.00442 / ISBN:https://doi.org/10.48550/arXiv.2402.00442 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Sense of engagement and responsibility
A Surveyed research group webpages - Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines / 2402.01659 / ISBN:https://doi.org/10.48550/arXiv.2402.01659 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Related literature
3. Research study
4. Findings - Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cubeà / 2402.01760 / ISBN:https://doi.org/10.48550/arXiv.2402.01760 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
2. Literature review
3. Methodology
4. Discussion
5. Conclusion
B. An Example Dialog With Sentiment Analysis - Commercial AI, Conflict, and Moral Responsibility: A theoretical analysis and practical approach to the moral responsibilities associated with dual-use AI technology / 2402.01762 / ISBN:https://doi.org/10.48550/arXiv.2402.01762 / Published by ArXiv / on (web) Publishing site
- 4 Recommendations to address threats posed by crossover AI technology
- (A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice / 2402.01864 / ISBN:https://doi.org/10.48550/arXiv.2402.01864 / Published by ArXiv / on (web) Publishing site
- 3 Methods: case-based expert deliberation
4 Results
5 Discussion
A Provided AI response strategies and examples
B Workshop participant information
C Linear regression of participants' AI usage and desired responses - POLARIS: A framework to guide the development of Trustworthy AI systems / 2402.05340 / ISBN:https://doi.org/10.48550/arXiv.2402.05340 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 State of the practice
4 The POLARIS framework
5 POLARIS framework application - Face Recognition: to Deploy or not to Deploy? A Framework for Assessing the Proportional Use of Face Recognition Systems in Real-World Scenarios / 2402.05731 / ISBN:https://doi.org/10.48550/arXiv.2402.05731 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Background
3. Intervention models from other fields
4. Proposed framework
5. The framework in practice
6. Compliance with International Regulations - Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review / 2206.09514 / ISBN:https://doi.org/10.48550/arXiv.2206.09514 / Published by ArXiv / on (web) Publishing site
- 3 Review Methodology
5 Findings
6 Discussion and Recommendations
7 Methodological Lessons Learned
A List of Included Studies
C Glossary of Terms - Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist / 2311.02107 / ISBN:https://doi.org/10.48550/arXiv.2311.02107 / Published by ArXiv / on (web) Publishing site
- Methods
Results
Discussion
Appendix - How do machines learn? Evaluating the AIcon2abs method / 2401.07386 / ISBN:https://doi.org/10.48550/arXiv.2401.07386 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
4. Results
5. Conclusion - I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench / 2401.17882 / ISBN:https://doi.org/10.48550/arXiv.2401.17882 / Published by ArXiv / on (web) Publishing site
- 4 Awareness Dataset: AWAREEVAL
5 Experiments
6 Conclusion
A AWAREEVAL Dataset Details
B Experimental Settings & Results - Mapping the Ethics of Generative AI: A Comprehensive Scoping Review / 2402.08323 / ISBN:https://doi.org/10.48550/arXiv.2402.08323 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
Appendix A
Appendix C - Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence / 2402.08466 / ISBN:https://doi.org/10.48550/arXiv.2402.08466 / Published by ArXiv / on (web) Publishing site
- 5 Advantages of Human-Guided
Training
- User Modeling and User Profiling: A Comprehensive Survey / 2402.09660 / ISBN:https://doi.org/10.48550/arXiv.2402.09660 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Analysis of the Terminology
4 Current Taxonomy
5 Discussion and Future Research Directions - Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence / 2402.09880 / ISBN:https://doi.org/10.48550/arXiv.2402.09880 / Published by ArXiv / on (web) Publishing site
- II. Background and Related Work
III. Unified Evaluation Framework For LLM Benchmarks
IV. Technological Aspects
V. Processual Elements
VII. Discussions - Copyleft for Alleviating AIGC Copyright Dilemma: What-if Analysis, Public Perception and Implications / 2402.12216 / ISBN:https://doi.org/10.48550/arXiv.2402.12216 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
5 Public Perception: A Survey Method
6 Implications and Recommendations - Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation / 2402.12590 / ISBN:https://doi.org/10.48550/arXiv.2402.12590 / Published by ArXiv / on (web) Publishing site
- 2. Emergence of Free-Formed AI Collectives
4. Robustness of Free-Formed AI Collectives Against Risks - What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents / 2402.13184 / ISBN:https://doi.org/10.48550/arXiv.2402.13184 / Published by ArXiv / on (web) Publishing site
- 4 CosmoAgent Architecture
6 Results and Evaluation
A Appendix - The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review / 2402.13635 / ISBN:https://doi.org/10.48550/arXiv.2402.13635 / Published by ArXiv / on (web) Publishing site
- Introduction
Results
METRIC-framework for medical training data
Methods - The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success / 2402.14728 / ISBN:https://doi.org/10.48550/arXiv.2402.14728 / Published by ArXiv / on (web) Publishing site
- 1 The increasing importance of AI
2 The EU AI Act
4 There is no trustworthy AI without HCI - Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education / 2402.15027 / ISBN:https://doi.org/10.48550/arXiv.2402.15027 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 Materials and Methods
5 Results
6 Discussion
Appendix 2 Modified psychometric scales - Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms / 2402.17690 / ISBN:https://doi.org/10.48550/arXiv.2402.17690 / Published by ArXiv / on (web) Publishing site
- II. The AI-Powered Development Life-Cycle in
Autonomous Vehicles
III. Ethical Considerations and Bias in AI-Driven Software Development for Autonomous Vehicles
VI. AI and Learning Algorithms Statistics for Autonomous Vehicles
VII. Conclusion - FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics / 2402.19071 / ISBN:https://doi.org/10.48550/arXiv.2402.19071 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
2. Background
4. Results
5. Discussion - Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits / 2403.00145 / ISBN:https://doi.org/10.48550/arXiv.2403.00145 / Published by ArXiv / on (web) Publishing site
- 2 Background and Related Work
3 Methodology
4 Results
5 Discussion
B Toolkits Considered for Inclusion - Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence / 2403.00148 / ISBN:https://doi.org/10.48550/arXiv.2403.00148 / Published by ArXiv / on (web) Publishing site
- 1 Motivation & Background
- The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN) / 2403.02558 / ISBN:https://doi.org/10.48550/arXiv.2403.02558 / Published by ArXiv / on (web) Publishing site
- Abstract
Part 4. Model evaluation
Part 6. End-to-end pipeline replication - Towards an AI-Enhanced Cyber Threat Intelligence Processing Pipeline / 2403.03265 / ISBN:https://doi.org/10.48550/arXiv.2403.03265 / Published by ArXiv / on (web) Publishing site
- I. Introduction & Motivation
II. Background & Literature Review
IV. Challenges and Considerations - A Survey on Human-AI Teaming with Large Pre-Trained Models / 2403.04931 / ISBN:https://doi.org/10.48550/arXiv.2403.04931 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 AI Model Improvements with Human-AI Teaming
4 Safe, Secure and Trustworthy AI
5 Applications
6 Conclusion - How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities / 2311.09447 / ISBN:https://doi.org/10.48550/arXiv.2311.09447 / Published by ArXiv / on (web) Publishing site
- A Internal Thoughts
B Baseline Setup - AGI Artificial General Intelligence for Education / 2304.12479 / ISBN:https://doi.org/10.48550/arXiv.2304.12479 / Published by ArXiv / on (web) Publishing site
- 2. What is AGI
3. The Potentials of AGI in Transforming Future Education
4. Ethical Issues and Concerns - Moral Sparks in Social Media Narratives / 2310.19268 / ISBN:https://doi.org/10.48550/arXiv.2310.19268 / Published by ArXiv / on (web) Publishing site
- 3. Data
4. Methods
5. Results - Responsible Artificial Intelligence: A Structured Literature Review / 2403.06910 / ISBN:https://doi.org/10.48550/arXiv.2403.06910 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
3. Analysis
4. Discussion - Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies / 2403.08115 / ISBN:https://doi.org/10.48550/arXiv.2403.08115 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
4 Informational Fairness
6 Ethics and Morality - Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems / 2403.08624 / ISBN:https://doi.org/10.48550/arXiv.2403.08624 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Theoretical Background
3 Research Methodology
4 Results of the Systematic Literature Review
5 Towards Privacy- and Security-Aware Framework for Ethical AI - Review of Generative AI Methods in Cybersecurity / 2403.08701 / ISBN:https://doi.org/10.48550/arXiv.2403.08701 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Cyber Defence
5 Implications of Generative AI in Social, Legal, and Ethical Domains - Evaluation Ethics of LLMs in Legal Domain / 2403.11152 / ISBN:https://doi.org/10.48550/arXiv.2403.11152 / Published by ArXiv / on (web) Publishing site
- 4 Experiment
- Trust in AI: Progress, Challenges, and Future Directions / 2403.14680 / ISBN:https://doi.org/10.48550/arXiv.2403.14680 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
3. Findings
4. Discussion
5. Concluding Remarks and Future Directions - AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps / 2403.14681 / ISBN:https://doi.org/10.48550/arXiv.2403.14681 / Published by ArXiv / on (web) Publishing site
- Abstract
AI Ethics Development Phases Based on Keyword Analysis
Key AI Ethics Issues
Key Gaps
Limitations and Conclusion - Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation / 2403.14706 / ISBN:https://doi.org/10.48550/arXiv.2403.14706 / Published by ArXiv / on (web) Publishing site
- Methodology
Data
Results
Conclusion
Web Appendix A: Analysis of the Disinformation Manipulations - The Journey to Trustworthy AI- Part 1 Pursuit of Pragmatic Frameworks / 2403.15457 / ISBN:https://doi.org/10.48550/arXiv.2403.15457 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Trustworthy AI Too Many Definitions or Lack Thereof?
3 Complexities and Challenges
4 AI Regulation: Current Global Landscape
5 Risk
6 Bias and Fairness
7 Explainable AI as an Enabler of Trustworthy AI
9 A Few Suggestions for a Viable Path Forward
A Appendix - Analyzing Potential Solutions Involving Regulation to Escape Some of AI's Ethical Concerns / 2403.15507 / ISBN:https://doi.org/10.48550/arXiv.2403.15507 / Published by ArXiv / on (web) Publishing site
- Various AI Ethical Concerns
A Possible Solution to These Concerns With Business Self-Regulation - The Pursuit of Fairness in Artificial Intelligence Models A Survey / 2403.17333 / ISBN:https://doi.org/10.48550/arXiv.2403.17333 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Related Survey
3 Conceptualizing Fairness and Bias in ML
4 Practical cases of unfairness in real-world setting
5 Ways to mitigate bias and promote Fairness
6 How Users can be affected by unfair ML Systems
8 Conclusion - Domain-Specific Evaluation Strategies for AI in Journalism / 2403.17911 / ISBN:https://doi.org/10.48550/arXiv.2403.17911 / Published by ArXiv / on (web) Publishing site
- 3 Blueprints for AI Evaluation in
Journalism
4 Future Directions and Conclusion - Power and Play Investigating License to Critique in Teams AI Ethics Discussions / 2403.19049 / ISBN:https://doi.org/10.48550/arXiv.2403.19049 / Published by ArXiv / on (web) Publishing site
- 1 Introduction and Related Work
2 Methods
3 RQ1: What Factors Influence Members’ “Licens to Critique” when Discussing AI Ethics with their Team?
4 RQ2: How Do AI Ethics Discussions Unfold while Playing a Game Oriented toward Speculative Critique?
5 Discussion - Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness / 2403.20089 / ISBN:https://doi.org/10.48550/arXiv.2403.20089 / Published by ArXiv / on (web) Publishing site
- 2 Non-discrimination law vs. algorithmic fairness
4 Practical challenges for compliance - AI Act and Large Language Models (LLMs): When critical issues and privacy impact require human and ethical oversight / 2404.00600 / ISBN:https://doi.org/10.48550/arXiv.2404.00600 / Published by ArXiv / on (web) Publishing site
- 7. Artificial intelligence Liability
- Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey / 2404.00990 / ISBN:https://doi.org/10.48550/arXiv.2404.00990 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Applications of Large Language Models in Legal Tasks
4 Legal Problems of Large Languge Models - A Review of Multi-Modal Large Language and Vision Models / 2404.01322 / ISBN:https://doi.org/10.48550/arXiv.2404.01322 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Proprietary vs. Open Source LLMs
4 Specific Large Language Models
5 Vision Models and Multi-Modal Large Language Models
8 Conclusions - Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems / 2404.03995 / ISBN:https://doi.org/10.48550/arXiv.2404.03995 / Published by ArXiv / on (web) Publishing site
- II. Background and Related Work
IV. Results
V. Discussion
VI. Threats to Validity - Designing for Human-Agent Alignment: Understanding what humans want from their agents / 2404.04289 / ISBN:https://doi.org/10.1145/3613905.3650948 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Background
4 Findings
5 Discussion
6 Limitations - Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage / 2404.06077 / ISBN:https://doi.org/10.48550/arXiv.2404.06077 / Published by ArXiv / on (web) Publishing site
- I. Introduction
IV. Detailed Construction
V. Implementation on DAML
VI. Evaluation - Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents / 2404.06750 / ISBN:https://arxiv.org/abs/2404.06750 / Published by ArXiv / on (web) Publishing site
- Polarised Responses
Rebooting Machine Ethics
Language Model Agents in Society - A Critical Survey on Fairness Benefits of Explainable AI / 2310.13007 / ISBN:https://doi.org/10.1145/3630106.3658990 / Published by ArXiv / on (web) Publishing site
- 4 Critical Survey
5 Three Patterns of Critique
A Methodologies of Surveyed Literature
B References for Archetypal Claims - AI Alignment: A Comprehensive Survey / 2310.19852 / ISBN:https://doi.org/10.48550/arXiv.2310.19852 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Learning from Feedback
3 Learning under Distribution Shift
4 Assurance
5 Governance
6 Conclusion - Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations / 2401.13605 / ISBN:https://doi.org/10.48550/arXiv.2401.13605 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 The Need for Governance of AI
4 Public Opinion on AI Governance
6 Results
7 Discussion
8 Conclusion - Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives / 2402.01662 / ISBN:https://doi.org/10.48550/arXiv.2402.01662 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Generative Ghosts: A Design Space
4 Benefits and Risks of Generative Ghost - Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints / 2402.08171 / ISBN:https://doi.org/10.1145/3630106.3658973 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Grey Skin as Technofix: Failures to Lodge Located Complaints
5 Alternative AI Ethics: Space for Embodied Complaints
6 Conclusions: Towards Humble Technical Practices - On the role of ethics and sustainability in business innovation / 2404.07678 / ISBN:https://doi.org/10.48550/arXiv.2404.07678 / Published by ArXiv / on (web) Publishing site
- Sustainability considera5ons
- PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models / 2404.08699 / ISBN:https://doi.org/10.48550/arXiv.2404.08699 / Published by ArXiv / on (web) Publishing site
- 2 Background and Related Work
3 Methodology
5 Conclusion - Detecting AI Generated Text Based on NLP and Machine Learning Approaches / 2404.10032 / ISBN:https://doi.org/10.48550/arXiv.2404.10032 / Published by ArXiv / on (web) Publishing site
- IV. Results and Discussion
- Debunking Robot Rights Metaphysically, Ethically, and Legally / 2404.10072 / ISBN:https://doi.org/10.48550/arXiv.2404.10072 / Published by ArXiv / on (web) Publishing site
- 3 The Robots at Issue
4 The Machines Like us Argument: Mistaking the Map for the Territory
5 Embodied Enactive (Post-Cartesian) Perspectives on Cognition
6 Posthumanism
8 The Troubling Implications of Legal Rationales for Robot Rights - Characterizing and modeling harms from interactions with design patterns in AI interfaces / 2404.11370 / ISBN:https://doi.org/10.48550/arXiv.2404.11370 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Scoping Review of Design Patterns, Affordances, and Harms in AI Interfaces
4 DECAI: Design-Enhanced Control of AI Systems
5 Case Studies
6 Discussion - Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act / 2404.11476 / ISBN:https://doi.org/10.48550/arXiv.2404.11476 / Published by ArXiv / on (web) Publishing site
- 2 EU Public Policy Analysis
3 A Geo-Political AI Risk Taxonomy
4 European Union Artificial Intelligence Act - Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making / 2404.12558 / ISBN:https://doi.org/10.48550/arXiv.2404.12558 / Published by ArXiv / on (web) Publishing site
- 2 Method
3 Results
4 Discussin and Implications - Large Language Model Supply Chain: A Research Agenda / 2404.12736 / ISBN:https://doi.org/10.48550/arXiv.2404.12736 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 LLM Infrastructure
4 LLM Lifecycle
5 Downstream Ecosystem - The Necessity of AI Audit Standards Boards / 2404.13060 / ISBN:https://doi.org/10.48550/arXiv.2404.13060 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 3 Governance for safety
4 4 Auditing standards body, not standard audits - Modeling Emotions and Ethics with Large Language Models / 2404.13071 / ISBN:https://doi.org/10.48550/arXiv.2404.13071 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Qualifying and Quantifying Emotions
3 Case Study #1: Linguistic Features of Emotion
5 Concluding Remarks
Appendix A - From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap / 2404.13131 / ISBN:https://doi.org/10.1145/3630106.3658951 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
3 How Claim Replicability Helps Bridge the Responsiblity Gap - A Practical Multilevel Governance Framework for Autonomous and Intelligent Systems / 2404.13719 / ISBN:https://doi.org/10.48550/arXiv.2404.13719 / Published by ArXiv / on (web) Publishing site
- II. Comprehensive Governance of Emerging Technologies
III. A Practical Multilevel Governance Framework for AIs
IV. Application of the Framework for the Development of AIs - Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis / 2404.13861 / ISBN:https://doi.org/10.48550/arXiv.2404.13861 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Mechanistic Agency: A Common View in AI Practice
4 Alternatives to AI as Agent - Designing Safe and Engaging AI Experiences for Children: Towards the Definition of Best Practices in UI/UX Design / 2404.14218 / ISBN:https://doi.org/10.48550/arXiv.2404.14218 / Published by ArXiv / on (web) Publishing site
- 4 Metrics for Assessing Trustworthiness, Reliability, and Safety in Human-AI
Interaction
- Who Followed the Blueprint? Analyzing the Responses of U.S. Federal Agencies to the Blueprint for an AI Bill of Rights / 2404.19076 / ISBN:https://doi.org/10.48550/arXiv.2404.19076 / Published by ArXiv / on (web) Publishing site
- Findings
- Fairness in AI: challenges in bridging the gap between algorithms and law / 2404.19371 / ISBN:https://doi.org/10.48550/arXiv.2404.19371 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Discrimination in Law
V. Discussion - War Elephants: Rethinking Combat AI and Human Oversight / 2404.19573 / ISBN:https://doi.org/10.48550/arXiv.2404.19573 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Lessons from History: War Elephants
4 Discussion
5 Conclusions - Not a Swiss Army Knife: Academics' Perceptions of Trade-Offs Around Generative Artificial Intelligence Use / 2405.00995 / ISBN:https://doi.org/10.48550/arXiv.2405.00995 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Related Work
3 Method
4 Findings
5 Discussion - Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework / 2405.01697 / ISBN:https://doi.org/10.48550/arXiv.2405.01697 / Published by ArXiv / on (web) Publishing site
- 2 How can organizations participate
3 Four Pillars for Implementing an Ethical Framework in Organizations
4 Conclusions - A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law / 2405.01769 / ISBN:https://doi.org/10.48550/arXiv.2405.01769 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Finance
4 Medicine and Healthcare
5 Law - AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research / 2405.01859 / ISBN:https://doi.org/10.48550/arXiv.2405.01859 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Current State of AWS
3. AWS Proliferation and Threats to Academic Research
4. Policy Recommendations - Responsible AI: Portraits with Intelligent Bibliometrics / 2405.02846 / ISBN:https://doi.org/10.48550/arXiv.2405.02846 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Conceptualization: Responsible AI
III. Data and Methodology
IV. Bibliometric Portraits of Responsible AI
Supplemental Materials - Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines / 2405.03153 / ISBN:https://doi.org/10.48550/arXiv.2405.03153 / Published by ArXiv / on (web) Publishing site
- Abstract
4 Results - Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligence / 2405.03825 / ISBN:https://doi.org/10.48550/arXiv.2405.03825 / Published by ArXiv / on (web) Publishing site
- 2 Motivation
3 Proposed Organizational Forms - A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI / 2405.04333 / ISBN:https://doi.org/10.48550/arXiv.2405.04333 / Published by ArXiv / on (web) Publishing site
- Glossary of Terms
1. Introduction
3. A Spectrum of Scenarios of Open Data for Generative AI
4. Open Data Requirements And Diagnostic
5. Recommendations for Advancing Open Data in Generative AI - Guiding the Way: A Comprehensive Examination of AI Guidelines in Global Media / 2405.04706 / ISBN:https://doi.org/10.48550/arXiv.2405.04706 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Theoretical Framework
3 Data and Methods
4 Results
5 Discussion and conclusions - Trustworthy AI-Generative Content in Intelligent 6G Network: Adversarial, Privacy, and Fairness / 2405.05930 / ISBN:https://doi.org/10.48550/arXiv.2405.05930 / Published by ArXiv / on (web) Publishing site
- II. Trustworthy AIGC in 6G Network
V. Fairness of AIGC in 6G Network
VI. Case Study
VII. Challenges and Future Research Directions - RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles / 2307.15158 / ISBN:https://doi.org/10.48550/arXiv.2307.15158 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
4 Method for Generating Responsible AI Guidelines
5 Evaluation of the 22 Responsible AI Guidelines
6 Discussion
A Additional Materials for the User Study
B Mapping Guidelines with EU AI Act Articles - Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis / 2309.10771 / ISBN:https://doi.org/10.48550/arXiv.2309.10771 / on (web) Publishing site
- 2
Related Work
3 Methods
4 Users’ Experiences and Challenges with ChatGPT
5 Analyses of the Design Process
6 User’s Attitude on ChatGPT’s Qualitative Analysis Assistance: from no to yes
7 Discussion
A Appendix - XXAI: Towards eXplicitly eXplainable Artificial Intelligence / 2401.03093 / ISBN:https://doi.org/10.48550/arXiv.2401.03093 / Published by ArXiv / on (web) Publishing site
- 1.
Introduction
2. Main hypothesis
3. Overcoming the barriers to widespread use of symbolic AI
5. Conclusions and prospects - Should agentic conversational AI change how we think about ethics? Characterising an interactional ethics centred on respect / 2401.09082 / ISBN:https://doi.org/10.48550/arXiv.2401.09082 / Published by ArXiv / on (web) Publishing site
- Introduction
Social-interactional harms
Design implications for LLM agents - Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse / 2401.13142 / ISBN:https://doi.org/10.48550/arXiv.2401.13142 / Published by ArXiv / on (web) Publishing site
- 3 The Motley Choices of AGI Discourse
5 Conclusion: Politically Legitimate Intelligence
A Dimensions of AGI: a Summary - Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators / 2402.01708 / ISBN:https://doi.org/10.48550/arXiv.2402.01708 / Published by ArXiv / on (web) Publishing site
- 3 Overview of Speech Generation
4 Research Approach
6 Taxonomy of Harms
7 Discussion
A Appendix - The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative / 2402.14859 / ISBN:https://doi.org/10.48550/arXiv.2402.14859 / Published by ArXiv / on (web) Publishing site
- 4. Experiments
- Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback / 2404.10271 / ISBN:https://doi.org/10.48550/arXiv.2404.10271 / Published by ArXiv / on (web) Publishing site
- 2. Background
3. What Are the Collective Decision Problems and their Alternatives in this Context? - A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs) / 2405.03066 / ISBN:https://doi.org/10.48550/arXiv.2405.03066 / Published by ArXiv / on (web) Publishing site
- 2 Materials
3 Results
4 Discussion
Appendix - Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models / 2405.07076 / ISBN:https://doi.org/10.48550/arXiv.2405.07076 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Quantitative Models of Emotions, Behaviors, and Ethics
4 Pilot Studies
Appendix S: Multiple Adversarial LLMs
Appendix C: Z. Sayre to F. S. Fitzgerald w/ Mixed Emotions
Appendix E: “To My Sister” of Different Linguistic Behaviors
Appendix H: Instruction to Human Annotators - Using ChatGPT for Thematic Analysis / 2405.08828 / ISBN:https://doi.org/10.48550/arXiv.2405.08828 / Published by ArXiv / on (web) Publishing site
- 3 Pilot-testing: UN Policy Documents Thematic Analysis Supported by GPT
4 Validation Using Topic Modeling
5 Discussion and Limitations
6 OpenAI Updates on Policies and Model Capabilities: Implications for Thematic Analysis
9 Appendix - When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI
/ 2405.09597 / ISBN:https://doi.org/10.48550/arXiv.2405.09597 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 RQ1: What Happens When AI Eats Itself ?
3 RQ2: What Technical Strategies Can Be Employed to Mitigate the Negative Consequences of AI Autophagy?
4 RQ3: Which Regulatory Strategies Can Be Employed to Address These Negative Consequences? - Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study / 2405.11668 / ISBN:https://doi.org/10.48550/arXiv.2405.11668 / Published by ArXiv / on (web) Publishing site
- 5.Quality Metrics Performance
- The Narrow Depth and Breadth of Corporate Responsible AI Research / 2405.12193 / ISBN:https://doi.org/10.48550/arXiv.2405.12193 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 The Narrow Depth of Industry’s Responsible AI Research
5 The Narrow Breadth of Industry’s Responsible AI Research
6 Limited Adoption of Responsible AI Research in Commercialization: Patent Citation Analysis
7 Discussion
8 Conclusion
S1 Additional Analyses on Engagement Analysis
S2 Additional Analyses on Linguistic Analysis - Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems / 2405.13191 / ISBN:https://doi.org/10.48550/arXiv.2405.13191 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
3 The Audit Procedure
4 Conducting the Pilots
6 Conclusion and Outlook
D Lifecycle Mapping of Pilot 1 - A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions / 2405.14487 / ISBN:https://doi.org/10.48550/arXiv.2405.14487 / Published by ArXiv / on (web) Publishing site
- I. Introduction
VII. Cyber Security Operations Automation
IX. Challenges and Open Problems
X. Conclusions - Towards Clinical AI Fairness: Filling Gaps in the Puzzle / 2405.17921 / ISBN:https://doi.org/10.48550/arXiv.2405.17921 / Published by ArXiv / on (web) Publishing site
- Main
Results
Discussion
Conclusion
Methods
Additional material - The ethical situation of DALL-E 2
/ 2405.19176 / ISBN:https://doi.org/10.48550/arXiv.2405.19176 / Published by ArXiv / on (web) Publishing site
- 5 Technology and society, a complex relationship
- The Future of Child Development in the AI Era. Cross-Disciplinary Perspectives Between AI and Child Development Experts / 2405.19275 / ISBN:https://doi.org/10.48550/arXiv.2405.19275 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Anticipated AI Use for Children
3. Discussion - Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations / 2405.20195 / ISBN:https://doi.org/10.48550/arXiv.2405.20195 / Published by ArXiv / on (web) Publishing site
- 2. Related Work
4. Quantitative Results
6. Discussion
A. Appendix - The AI Alignment Paradox / 2405.20806 / ISBN:https://doi.org/10.48550/arXiv.2405.20806 / Published by ArXiv / on (web) Publishing site
- Paper
- Responsible AI for Earth Observation / 2405.20868 / ISBN:https://doi.org/10.48550/arXiv.2405.20868 / Published by ArXiv / on (web) Publishing site
- 2 Mitigating (Unfair) Bias
3 Secure AI in EO: Focusing on Defense Mechanisms, Uncertainty Modeling and Explainability
5 Maintaining Scientific Excellence, Open Data, and Guiding AI Usage Based on Ethical Principles in EO
8 Conclusions, Remarks and Future Directions - Gender Bias Detection in Court Decisions: A Brazilian Case Study / 2406.00393 / ISBN:https://doi.org/10.48550/arXiv.2406.00393 / Published by ArXiv / on (web) Publishing site
- 3 Framework
4 Discussion
5 Final Remarks
A DVC Dataset: Domestic Violence Cases
B PAC Dataset: Parental Alienation Cases
C Biases - How Ethical Should AI Be? How AI Alignment Shapes the Risk Preferences of LLMs / 2406.01168 / ISBN:https://doi.org/10.48550/arXiv.2406.01168 / Published by ArXiv / on (web) Publishing site
- Abstract
Introduction
II. Risk Characteristics of LLMs
III. Impact of Alignment on LLMs’ Risk Preferences
IV. Impact of Alignments on Corporate Investment Forecasts
V. Conclusions
Figures and tables - Evaluating AI fairness in credit scoring with the BRIO tool
/ 2406.03292 / ISBN:https://doi.org/10.48550/arXiv.2406.03292 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Preliminary Analysis
3 ML model construction
5 Risk assessment in BRIO
6 Risk analysis via BRIO for the German Credit Dataset
7 Revenue analysis - Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders Research / 2406.04116 / ISBN:https://doi.org/10.48550/arXiv.2406.04116 / Published by ArXiv / on (web) Publishing site
- 3. Related Work
4. Desiderata
6. Discussion - MoralBench: Moral Evaluation of LLMs / 2406.04428 / Published by ArXiv / on (web) Publishing site
- 3 Benchmark and Method
4 Experiments
Appendix - Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models / 2406.05602 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
2. Related Work
3. Bias Evaluation
4. Methodology
5. Results
7. Conclusion
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models - Deception Analysis with Artificial Intelligence: An Interdisciplinary Perspective / 2406.05724 / ISBN:https://doi.org/10.48550/arXiv.2406.05724 / Published by ArXiv / on (web) Publishing site
- 3 Reductionism & Previous Research in Deceptive AI
4 DAMAS: A MAS Framework for Deception Analysis
5 Conclusion - The Impact of AI on Academic Research and Publishing / 2406.06009 / Published by ArXiv / on (web) Publishing site
- Introduction
Ethics of AI for Writing Papers
AI Policies Among Publishers - An Empirical Design Justice Approach to Identifying Ethical Considerations in the Intersection of Large Language Models and Social Robotics / 2406.06400 / ISBN:https://doi.org/10.48550/arXiv.2406.06400 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Theoretical Background
3 Methodology
4 Findings
5 Discussion
6 Conclusions and Recommendations
Appendix B: Collected data summary - The Ethics of Interaction: Mitigating Security Threats in LLMs / 2401.12273 / ISBN:https://doi.org/10.48550/arXiv.2401.12273 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Why Ethics Matter in LLM Attacks?
3 Potential Misuse and Security Concerns - Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis / 2406.08695 / ISBN:https://doi.org/10.48550/arXiv.2406.08695 / Published by ArXiv / on (web) Publishing site
- 4 Global Regulatory Landscape of AI
7 Future Directions
A Supplemental Tables - Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle / 2406.09029 / ISBN:https://doi.org/10.48550/arXiv.2406.09029 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Fairness and AI
3 Assuring fairness across the AI lifecycle - Some things never change: how far generative AI can really change software engineering practice / 2406.09725 / ISBN:https://doi.org/10.48550/arXiv.2406.09725 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Background and related work
3 Methodology
4 Results
6 Conclusions and future work - Federated Learning driven Large Language Models for Swarm Intelligence: A Survey / 2406.09831 / ISBN:https://doi.org/10.48550/arXiv.2406.09831 / Published by ArXiv / on (web) Publishing site
- III. Federated LLMs for Smarm Intelligence
IV. Learned Lessons and Open Challenges - Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations / 2406.10632 / ISBN:https://doi.org/10.48550/arXiv.2406.10632 / Published by ArXiv / on (web) Publishing site
- II. Selection of application
III. Analysis
IV. Conclusion
Aappendix A Societal aspects
Appendix B Legal aspects
Appendix C Algorithmic / technical aspects - Justice in Healthcare Artificial Intelligence in Africa / 2406.10653 / ISBN:https://doi.org/10.48550/arXiv.2406.10653 / Published by ArXiv / on (web) Publishing site
- Abstract
Introduction
1. Beyond Bias and Fairness
2. Bridging the Justice Gap
3. Ensuring Equitable Access to AI Technologies
Conclusion - Current state of LLM Risks and AI Guardrails / 2406.12934 / ISBN:https://doi.org/10.48550/arXiv.2406.12934 / Published by ArXiv / on (web) Publishing site
- 2 Large Language Model Risks
3 Strategies in Securing Large Language models
4 Challenges in Implementing Guardrails
5 Open Source Tools
7 Conclusion - Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health
/ 2406.13659 / ISBN:https://doi.org/10.48550/arXiv.2406.13659 / Published by ArXiv / on (web) Publishing site
- II. RECENT ADVANCEMENTS IN LARGE LANGUAGE
MODELS
III. CASE STUDIES : APPLICATIONS OF LLM S IN PATIENT ENGAGEMENT
V. CONCLUSION - Documenting Ethical Considerations in Open Source AI Models / 2406.18071 / ISBN:https://doi.org/10.48550/arXiv.2406.18071 / Published by ArXiv / on (web) Publishing site
- 3 METHODOLOGY AND STUDY DESIGN
4 RESULTS
5 DISCUSSION AND IMPLICATIONS - AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations / 2406.18346 / ISBN:https://doi.org/10.48550/arXiv.2406.18346 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 Limitations of RLxF
4 The Internal Tensions and Ethical Issues in RLxF - A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics / 2406.18812 / ISBN:https://doi.org/10.48550/arXiv.2406.18812 / Published by ArXiv / on (web) Publishing site
- II. BACKGROUND
III. ATTACKS ON DT-INTEGRATED AI ROBOTS
IV. DT-INTEGRATED ROBOTICS DESIGN CONSIDERATIONS AND DISCUSSION - Staying vigilant in the Age of AI: From content generation to content authentication / 2407.00922 / ISBN:https://doi.org/10.48550/arXiv.2407.00922 / Published by ArXiv / on (web) Publishing site
- Introduction
Art Practice: Human Reactions to Synthetic Fake Content
Emphasizing Reasoning Over Detection
Acknowledgements - SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest / 2407.01110 / ISBN:https://doi.org/10.48550/arXiv.2407.01110 / Published by ArXiv / on (web) Publishing site
- II. UNDERSTANDING GENAI SECURITY
III. CRITICAL ANALYSIS
IV. SECGENAI FRAMEWORK REQUIREMENTS SPECIFICATIONS
V. DISCUSSIONS AND RECOMMENDATIONS - Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization / 2407.05336 / ISBN:https://doi.org/10.48550/arXiv.2407.05336 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Artificial intelligence as Weberian rationalization
4. AI-driven tax policy to reduce economic inequality: a thought experiment
5. Freedom, equality, and self-determination in the iron cage
6. Conclusion - A Blueprint for Auditing Generative AI / 2407.05338 / ISBN:https://doi.org/10.48550/arXiv.2407.05338 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
3 How to audit generative AI systems?
5 Model audits
6 Application audits
7 Clarifications and limitations
8 Conclusion - Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry / 2407.05339 / ISBN:https://doi.org/10.48550/arXiv.2407.05339 / Published by ArXiv / on (web) Publishing site
- 1 Introduction | The need for corporate AI governance
2 Case study | AstraZeneca’s AI governance journey
4 Discussion | Best practices and lessons learned - Operationalising AI governance through ethics-based auditing: An industry case study / 2407.06232 / Published by ArXiv / on (web) Publishing site
- 3. AstraZeneca and AI governance
5. Methodology: An industry case study
6. Lessons learned from AstraZeneca’s 2021 AI audit
7. Limitations
APPENDIX 1 - Auditing of AI: Legal, Ethical and Technical Approaches / 2407.06235 / Published by ArXiv / on (web) Publishing site
- 2 The evolution of auditing as a governance mechanism
3 The need to audit AI systems – a confluence of top-down and bottom-up pressures
4 Auditing of AI’s multidisciplinary foundations - Why should we ever automate moral decision making? / 2407.07671 / ISBN:https://doi.org/10.48550/arXiv.2407.07671 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
- Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / ISBN:https://doi.org/10.48550/arXiv.2308.15399 / Published by ArXiv / on (web) Publishing site
- A Details of Datasets
B Details of Instructions
C Experimental Details - Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework / 2303.11196 / ISBN:https://doi.org/10.48550/arXiv.2303.11196 / Published by ArXiv / on (web) Publishing site
- II. Global Divide in AI Regulation: Horizontally. Context-Specific
III. Striking a Balance Betweeen the Two Approaches
IV. Proposing an Alternative 3C Framework - CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics / 2407.02885 / ISBN:https://doi.org/10.48550/arXiv.2407.02885 / Published by ArXiv / on (web) Publishing site
- 2 Background
3 Conceptual Foundations
4 Design Framework - Past, Present, and Future: A Survey of The Evolution of Affective Robotics For Well-being / 2407.02957 / ISBN:https://doi.org/10.48550/arXiv.2407.02957 / Published by ArXiv / on (web) Publishing site
- III. Method
IV. Evolution of Affective Robots for Well-Being
V. 10 Years of Affectivbe Robotics
VI. Future Opportunities in Affective Robotivs for Well-Being - With Great Power Comes Great Responsibility: The Role of Software Engineers / 2407.08823 / ISBN:https://doi.org/10.48550/arXiv.2407.08823 / Published by ArXiv / on (web) Publishing site
- 2 Background and Related Work
3 Future Research Challenges - Have We Reached AGI? Comparing ChatGPT, Claude, and Gemini to Human Literacy and Education Benchmarks / 2407.09573 / ISBN:https://doi.org/10.48550/arXiv.2407.09573 / Published by ArXiv / on (web) Publishing site
- 2 Literature Review
4 Data Analysis and Results - Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations / 2407.11054 / ISBN:https://doi.org/10.48550/arXiv.2407.11054 / Published by ArXiv / on (web) Publishing site
- Introduction
Limitations of generative AI in HTA applications
Policy landscape
Appendices - Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acacias / 2407.11360 / ISBN:https://doi.org/10.48550/arXiv.2407.11360 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Giraffe and Acacia: Reciprocal Adaptations and Shaping
4 Generative AI and Humans: Risks and Mitigation
5 Meta Analysis: Limits of the Analogy
6 Discussion - Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models / 2407.13059 / ISBN:https://doi.org/10.48550/arXiv.2407.13059 / Published by ArXiv / on (web) Publishing site
- Introduction
Proposed Approach to Determining High-Consequence Biological Capabilities of Concern
Next Steps for AI Biosecurity Evaluations - Assurance of AI Systems From a Dependability Perspective / 2407.13948 / ISBN:https://doi.org/10.48550/arXiv.2407.13948 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Assurance for Systems Extended with AI and ML
3 Assurance of AI Systems for Specific Functions
4 Assurance for General-Purpose AI
5 Assurance and Alignment for AGI
6 Summary and Conclusion - Open Artificial Knowledge / 2407.14371 / ISBN:https://doi.org/10.48550/arXiv.2407.14371 / Published by ArXiv / on (web) Publishing site
- Appendices
- Honest Computing: Achieving demonstrable data lineage and provenance for driving data and process-sensitive policies / 2407.14390 / ISBN:https://doi.org/10.48550/arXiv.2407.14390 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
2. Threat Model for Honest Computing
3. Honest Computing reference specifications
4. Discussion
5. Conclusion - RogueGPT: dis-ethical tuning transforms ChatGPT4 into a Rogue AI in 158 Words / 2407.15009 / ISBN:https://doi.org/10.48550/arXiv.2407.15009 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Methodology
IV. Results
VII. Conclusion - Nudging Using Autonomous Agents: Risks and Ethical Considerations / 2407.16362 / ISBN:https://doi.org/10.48550/arXiv.2407.16362 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Ethical Considerations - Mapping the individual, social, and biospheric impacts of Foundation Models / 2407.17129 / ISBN:https://doi.org/10.48550/arXiv.2407.17129 / Published by ArXiv / on (web) Publishing site
- 2 Theoretical Lens: Expanding Views
on Algorithmic Risks and Harms
4 Mapping Individual, Social, and Biospheric Impacts of Foundation Models
5 Discussion: Grappling with the Scale and Interconnectedness of Foundation Models
A Appendix - Navigating the United States Legislative Landscape on Voice Privacy: Existing Laws, Proposed Bills, Protection for Children, and Synthetic Data for AI / 2407.19677 / ISBN:https://doi.org/10.48550/arXiv.2407.19677 / Published by ArXiv / on (web) Publishing site
- 3. Children’s Privacy in the US
- Interactive embodied evolution for socially adept Artificial General Creatures / 2407.21357 / ISBN:https://doi.org/10.48550/arXiv.2407.21357 / Published by ArXiv / on (web) Publishing site
- Introduction
- Exploring the Role of Social Support when Integrating Generative AI into Small Business Workflows / 2407.21404 / ISBN:https://doi.org/10.48550/arXiv.2407.21404 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Methodology
4 Findings
A Example Storyboards - Deepfake Media Forensics: State of the Art and Challenges Ahead / 2408.00388 / ISBN:https://doi.org/10.48550/arXiv.2408.00388 / Published by ArXiv / on (web) Publishing site
- 2. Deepfake Detection
6. Active Authentication - Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework / 2408.00965 / ISBN:https://doi.org/10.48550/arXiv.2408.00965 / Published by ArXiv / on (web) Publishing site
- 2 Background and Literature Review
3 Methodology
4 ESG-AI framework
5 Discussion - AI for All: Identifying AI incidents Related to Diversity and Inclusion / 2408.01438 / ISBN:https://doi.org/10.48550/arXiv.2408.01438 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
3 Methodology
4 Results
5 Discussion and Implications - Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance / 2408.01458 / ISBN:https://doi.org/10.48550/arXiv.2408.01458 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
5 Discussion
B Additional Materials for Pilot Survey - Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity / 2408.04023 / ISBN:https://doi.org/10.48550/arXiv.2408.04023 / Published by ArXiv / on (web) Publishing site
- 2. Related Work
3. Proposed framework
4. Model architecture and training parameters
6. Results - AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent / 2408.04281 / ISBN:https://doi.org/10.48550/arXiv.2408.04281 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Methodology
V. Results - Criticizing Ethics According to Artificial Intelligence / 2408.04609 / ISBN:https://doi.org/10.48550/arXiv.2408.04609 / Published by ArXiv / on (web) Publishing site
- 1 Preliminary notes
2 Clarifying conceptual ambiguities
3 Critical Reflection on AI Risks
5 Investigating fundamental normative issues - Between Copyright and Computer Science: The Law and Ethics of Generative AI / 2403.14653 / ISBN:https://doi.org/10.48550/arXiv.2403.14653 / Published by ArXiv / on (web) Publishing site
- Introduction
I. The Why and How Behind LLMs
IV. The Path Ahead - The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources / 2406.16746 / ISBN:https://doi.org/10.48550/arXiv.2406.16746 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Methodology & Guidelines
3 Data Sources
4 Data Preparation
6 Model Training
7 Environmental Impact
8 Model Evaluation
9 Model Release & Monitoring - Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives / 2407.14962 / ISBN:https://doi.org/10.48550/arXiv.2407.14962 / Published by ArXiv / on (web) Publishing site
- II. Generative AI
III. Language Modeling
IV. Challenges of Generative AI and LLMs
V. Bridging Research Gaps and Future Directions - VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary / 2407.19524 / ISBN:https://doi.org/10.48550/arXiv.2407.19524 / Published by ArXiv / on (web) Publishing site
- I Introduction
2 Related Works
3 Method
4 Experiment
Appendices - Speculations on Uncertainty and Humane Algorithms / 2408.06736 / ISBN:https://doi.org/10.48550/arXiv.2408.06736 / Published by ArXiv / on (web) Publishing site
- Abstract
2 The Numbers of the Future
3 Uncertainty Ex Machina
4 Conclusions - Visualization Atlases: Explaining and Exploring Complex Topics through Data, Visualization, and Narration / 2408.07483 / ISBN:https://doi.org/10.48550/arXiv.2408.07483 / Published by ArXiv / on (web) Publishing site
- 3 Visualization Atlas Design Patterns
4 Interviews with Visualization Atlas Creators
5 Visualization Atlases Genres - Neuro-Symbolic AI for Military Applications / 2408.09224 / ISBN:https://doi.org/10.48550/arXiv.2408.09224 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Neuro-Symbolic AI
III. Autonomy in Military Weapons Systems
IV. Military Applications of Neuro-Symbolic AI
V. Challenges and Risks
VI. Interpretability and Explainability - Conference Submission and Review Policies to Foster Responsible Computing Research / 2408.09678 / ISBN:https://doi.org/10.48550/arXiv.2408.09678 / Published by ArXiv / on (web) Publishing site
- Use of Generative AI in CS Conference Publications
- Don't Kill the Baby: The Case for AI in Arbitration / 2408.11608 / ISBN:https://doi.org/10.48550/arXiv.2408.11608 / Published by ArXiv / on (web) Publishing site
- Introduction
I. AI and the Federal Arbitration ACt - CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher / 2408.11650 / ISBN:https://doi.org/10.48550/arXiv.2408.11650 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Background and Related Works
3. Methodology
4. Experiment Results
5. Discussion and Future Works - The Problems with Proxies: Making Data Work Visible through Requester Practices / 2408.11667 / ISBN:https://doi.org/10.48550/arXiv.2408.11667 / Published by ArXiv / on (web) Publishing site
- Related Work
Findings
Appendix - Promises and challenges of generative artificial intelligence for human learning / 2408.12143 / ISBN:https://doi.org/10.48550/arXiv.2408.12143 / Published by ArXiv / on (web) Publishing site
- 1 Main
2 Promises
4 Needs
Tables - Catalog of General Ethical Requirements for AI Certification / 2408.12289 / ISBN:https://doi.org/10.48550/arXiv.2408.12289 / Published by ArXiv / on (web) Publishing site
- 2 Operationalizable minimum requirements
3 European Union AI Act: a brief overview
5 Overall Ethical Requirements (O)
6 Fairness (F)
7 Privacy and Data Protection (P)
8 Safety and Robustness (SR)
9 Sustainability (SU)
10 Transparency and Explainability (T)
11 Truthfulness (TR) - Dataset | Mindset = Explainable AI | Interpretable AI / 2408.12420 / ISBN:https://doi.org/10.48550/arXiv.2408.12420 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
2. Literature Review
4. Experiment Implementation, Results and Analysis
5. Results Discussion - Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks / 2408.12806 / ISBN:https://doi.org/10.48550/arXiv.2408.12806 / Published by ArXiv / on (web) Publishing site
- Abstract
II. Related Work
IV. Attack Methodology - Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey / 2408.12880 / ISBN:https://doi.org/10.48550/arXiv.2408.12880 / Published by ArXiv / on (web) Publishing site
- 2 Preliminaries
3 Multimodal Medical Studies
4 Contrastice Foundation Models (CFMs)
5 Multimodal LLMs (MLLMs)
6 Discussions of Current Studies
Appendix - Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis / 2408.15121 / ISBN:https://doi.org/10.48550/arXiv.2408.15121 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Related Work
3 Methodology
4 Background
5 Explanation Requirements and Legal Explanatory Goals
6 A Categorisation of XAI in Terms of Explanatory Goals
7 Case Studies: Closed-Loop and Semi-Closed-Loop Control
8 Instructions for Use & Discussion of Findings
10 Conclusion - What Is Required for Empathic AI? It Depends, and Why That Matters for AI Developers and Users / 2408.15354 / ISBN:https://doi.org/10.48550/arXiv.2408.15354 / Published by ArXiv / on (web) Publishing site
- Three Empathic AI Use Cases in Medicine
“Fine cuts” of Empathy: Capabilities and Distinctions under the Empathy Umbrella
What Empathic Capabilities Do AIs Need?
Implications for AI Creators and Users - Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems / 2408.15550 / ISBN:https://doi.org/10.48550/arXiv.2408.15550 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Trustworthy and Responsible AI Definition
3 Governance for Human-Centric Intelligence Systems
4 Biases
5 Trustworthy and Responsible AI in Human-centric Applications
6 Open Challenges
7 Guidelines and Recommendations - A Survey for Large Language Models in Biomedicine / 2409.00133 / ISBN:https://doi.org/10.48550/arXiv.2409.00133 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 LLMs in Zero-Shot Biomedical Applications
4 Adapting General LLMs to the Biomedical Field
5 Discussion - Digital Homunculi: Reimagining Democracy Research with Generative Agents / 2409.00826 / ISBN:https://doi.org/10.48550/arXiv.2409.00826 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. The Experimentation Bottleneck
4. Risks and Caveats
5. Annoyances or Dealbreakers?
6. Conclusion - The overlooked need for Ethics in Complexity Science: Why it matters / 2409.02002 / ISBN:https://doi.org/10.48550/arXiv.2409.02002 / Published by ArXiv / on (web) Publishing site
- Mapping ethical challenges in complexity science
Limited research on ethics in complexity science - AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities / 2409.02017 / ISBN:https://doi.org/10.48550/arXiv.2409.02017 / Published by ArXiv / on (web) Publishing site
- Methods
Results
Discussion - Preliminary Insights on Industry Practices for Addressing Fairness Debt / 2409.02432 / ISBN:https://doi.org/10.48550/arXiv.2409.02432 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Fairness Debt
3 Method
4 Findings
5 Discussions
6 Conclusions - DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection / 2409.06072 / ISBN:https://doi.org/10.48550/arXiv.2409.06072 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Data Details
4 LLM Services (Infrastructure)
10 Appendix - Exploring AI Futures Through Fictional News Articles / 2409.06354 / ISBN:https://doi.org/10.48550/arXiv.2409.06354 / Published by ArXiv / on (web) Publishing site
- Introduction
Reflections from two workshop participants - Don't Kill the Baby: The Case for AI in Arbitration / 2408.11608 / ISBN:https://doi.org/10.48550/arXiv.2408.11608 / Published by ArXiv / on (web) Publishing site
- II. The Critics Are Killing the Baby
- The overlooked need for Ethics in Complexity Science: Why it matters / 2409.02002 / ISBN:https://doi.org/10.48550/arXiv.2409.02002 / Published by ArXiv / on (web) Publishing site
- Annexus
- On the Creativity of Large Language Models / 2304.00008 / ISBN:https://doi.org/10.48550/arXiv.2304.00008 / Published by ArXiv / on (web) Publishing site
- 4 Easy and Hard Problems in Machine Creativity
5 Practical Implications - Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward / 2305.08413 / ISBN:https://doi.org/10.48550/arXiv.2305.08413 / Published by ArXiv / on (web) Publishing site
- Introduction
Part I Modelling - Machine learning, computer vision and processing 1 Machine learning and computer vision for Earth observation
5 Physics-aware machine learning
Part III Communicating - Machine-user interaction, trustworthiness & ethics 6 User-centric Earth observation
7 Earth observation and society: the growing relevance of ethics - LLM generated responses to mitigate the impact of hate speech / 2311.16905 / ISBN:https://doi.org/10.48550/arXiv.2311.16905 / Published by ArXiv / on (web) Publishing site
- 5 Retrieval-Augmented Generation
7 Results
9 Limitations
A Reproducibility
C Verified Articles
F Survey Results - Why business adoption of quantum and AI technology must be ethical / 2312.10081 / ISBN:https://doi.org/10.48550/arXiv.2312.10081 / Published by ArXiv / on (web) Publishing site
- Argument from Authority: Ethics by committee
Reductio ad absurdum: Argument by assuming the opposite scenario leading to unacceptable consequences - Views on AI aren't binary -- they're plural / 2312.14230 / ISBN:https://doi.org/10.48550/arXiv.2312.14230 / Published by ArXiv / on (web) Publishing site
- The false binary: A note on language
The false binary: Alignment’s discontents with Ethics
Overcoming the dichotomy: Why should we?
Conclusion - Data-Centric Foundation Models in Computational Healthcare: A Survey / 2401.02458 / ISBN:https://doi.org/10.48550/arXiv.2401.02458 / Published by ArXiv / on (web) Publishing site
- 5 Data Quantity
8 Performance Evaluation
B Healthcare Foundation Models - Ethical Artificial Intelligence Principles and Guidelines for the Governance and Utilization of Highly Advanced Large Language Models / 2401.10745 / ISBN:https://doi.org/10.48550/arXiv.2401.10745 / Published by ArXiv / on (web) Publishing site
- Background
- Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models / 2401.16727 / ISBN:https://doi.org/10.48550/arXiv.2401.16727 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Hate Speech
4 Challenges - Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications / 2401.17434 / ISBN:https://doi.org/10.48550/arXiv.2401.17434 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Methodology
3. Results
5. Conclusion - Large language models as linguistic simulators and cognitive models in human research / 2402.04470 / ISBN:https://doi.org/10.48550/arXiv.2402.04470 / Published by ArXiv / on (web) Publishing site
- Language models as human participants
Six fallacies that misinterpret language models
Using language models to simulate roles and model cognitive processes
Concluding remarks - Navigating LLM Ethics: Advancements, Challenges, and Future Directions / 2406.18841 / ISBN:https://doi.org/10.48550/arXiv.2406.18841 / Published by ArXiv / on (web) Publishing site
- Abstract
I. Introduction
IV. Findings and Resultant Themes
V. Discussion
VI. Conclusion and Future directions - How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions / 2409.07192 / ISBN:https://doi.org/10.48550/arXiv.2409.07192 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Related Work
3 Research Design
4 Results
5 Open Challenges and Future Research Directions (RQ5)
6 Discussions - Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection / 2409.08895 / ISBN:https://doi.org/10.48550/arXiv.2409.08895 / Published by ArXiv / on (web) Publishing site
- Introduction
3 Result of Primary Analysis
4 Results of Additional Analysis
5 Discussion
7 Supplementary Materials - Improving governance outcomes through AI documentation: Bridging theory and practice / 2409.08960 / ISBN:https://doi.org/10.48550/arXiv.2409.08960 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Results - ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs / 2409.09586 / ISBN:https://doi.org/10.48550/arXiv.2409.09586 / Published by ArXiv / on (web) Publishing site
- 3 ValueCompass Framework
4 Experimental Settings
5 Results
6 Discussion and Limitation - Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools / 2409.11489 / ISBN:https://doi.org/10.48550/arXiv.2409.11489 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Ethical Considerations in AI-Enabled Optimization
3 Case Studies in AI-Enabled Optimization
4 Lessons Learned from the Case Studies
5 Conclusion
Appendix B Technical and Conceptual Details for the Power Systems Case Study - Reporting Non-Consensual Intimate Media: An Audit Study of Deepfakes / 2409.12138 / ISBN:https://doi.org/10.48550/arXiv.2409.12138 / Published by ArXiv / on (web) Publishing site
- 2 Related Research
3 Method
Appendices - Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations / 2409.13869 / ISBN:https://doi.org/10.48550/arXiv.2409.13869 / Published by ArXiv / on (web) Publishing site
- Mutual Impacts: Technology and Democracy
Data and Results
Middle-aged and elders’ representation - GenAI Advertising: Risks of Personalizing Ads with LLMs / 2409.15436 / ISBN:https://doi.org/10.48550/arXiv.2409.15436 / Published by ArXiv / on (web) Publishing site
- 3 Chatbot Ad Engine Design
4 Effects of Ad Injection on LLM Performance
5 User Study Methodology
6 User Study Results
A Appendix - XTRUST: On the Multilingual Trustworthiness of Large Language Models / 2409.15762 / ISBN:https://doi.org/10.48550/arXiv.2409.15762 / Published by ArXiv / on (web) Publishing site
- 4 Experiments
5 Conclusion
Appendices - Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI / 2409.16001 / ISBN:https://doi.org/10.48550/arXiv.2409.16001 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Path Leading to AHI
IV. Human-Level AI and Challenges/Perspectives
VI. Conclusion - Ethical and Scalable Automation: A Governance and Compliance Framework for Business Applications / 2409.16872 / ISBN:https://doi.org/10.48550/arXiv.2409.16872 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Literature Review
3. Methodology
4. Framework Development
5. Analysis and Discussion - Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions / 2409.16974 / ISBN:https://doi.org/10.48550/arXiv.2409.16974 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
5 Aims & Objectives (RQ1)
6 Methodologies & Capabilities (RQ2)
7 Limitations & Considerations (RQ3) - Safety challenges of AI in medicine / 2409.18968 / ISBN:https://doi.org/10.48550/arXiv.2409.18968 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Inherent problems of AI related to medicine
3 Risks of using AI in medicine
4 AI safety issues related to large language models in medicine - Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure / 2409.19104 / ISBN:https://doi.org/10.48550/arXiv.2409.19104 / Published by ArXiv / on (web) Publishing site
- I Introduction
2 Related Work
3 Methods
4 Results
5 Discussion
A Benchmarks in Open LLM Leaderboard - The Gradient of Health Data Privacy / 2410.00897 / ISBN:https://doi.org/10.48550/arXiv.2410.00897 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Background and Related Work
3 The Health Data Privacy Gradient
4 Technical Implementation of a Privacy Gradient Model
5 Legal and Ethical Implications
6 Case Studies - Enhancing transparency in AI-powered customer engagement / 2410.01809 / ISBN:https://doi.org/10.48550/arXiv.2410.01809 / Published by ArXiv / on (web) Publishing site
- Explaining AI-Powered
Decision Making in Customer
Engagement
Go Beyond Algorithms to Enhance Transparency - Ethical software requirements from user reviews: A systematic literature review / 2410.01833 / ISBN:https://doi.org/10.48550/arXiv.2410.01833 / Published by ArXiv / on (web) Publishing site
- II. Background
III. Research Methodology
IV. Results
APPENDIX A SELECTED STUDIES
APPENDIX B DATA EXTRACTED FROM PRIMARY STUDIES
APPENDIX C PUBLICATION TRENDS
APPENDIX D ADDITIONAL INFORMATION - Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration / 2410.02443 / ISBN:https://doi.org/10.48550/arXiv.2410.02443 / Published by ArXiv / on (web) Publishing site
- III. FL System Elements
IV. Proof of Concept I
V. Proof of Concepts 2
VII. Evaluations and Experiments - DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life / 2410.02683 / ISBN:https://doi.org/10.48550/arXiv.2410.02683 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Daily Dilemmas: A Dataset of Everyday Dilemmas
3 An Analysis of Synthetically Generated Dilemma Vignettes and Human Values in Daily Dilemmas
4 Unweiling LLM's Value Preferences Through Action Choices in Everyday Dilemmas
5 Examining LLM's Adherence to Design Principles and the Steerability of Value Preferences - Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs / 2410.05330 / ISBN:https://doi.org/10.48550/arXiv.2410.05330 / Published by ArXiv / on (web) Publishing site
- Literature Review
Methodology
Results - AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models / 2410.07561 / ISBN:https://doi.org/10.48550/arXiv.2410.07561 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Experimental Setup
5 Results
6 Conclusion
Appendices - Investigating Labeler Bias in Face Annotation for Machine Learning / 2301.09902 / ISBN:https://doi.org/10.48550/arXiv.2301.09902 / Published by ArXiv / on (web) Publishing site
- 2. Related Work
3. Method
4. Results
5. Discussion - From human-centered to social-centered artificial intelligence: Assessing ChatGPT's impact through disruptive events / 2306.00227 / ISBN:https://doi.org/10.48550/arXiv.2306.00227 / Published by ArXiv / on (web) Publishing site
- The multiple levels of AI impact
The emerging social impacts of ChatGPT - The Design Space of in-IDE Human-AI Experience / 2410.08676 / ISBN:https://doi.org/10.48550/arXiv.2410.08676 / Published by ArXiv / on (web) Publishing site
- IV. Results
V. Discussion - Trust or Bust: Ensuring Trustworthiness in Autonomous Weapon Systems / 2410.10284 / ISBN:https://doi.org/10.48550/arXiv.2410.10284 / Published by ArXiv / on (web) Publishing site
- II. Related Work
III. Research Methodology
IV. Challenges of AWS
V. Opportunities of AWS - Learning Human-like Representations to Enable Learning Human Values / 2312.14106 / ISBN:https://doi.org/10.48550/arXiv.2312.14106 / Published by ArXiv / on (web) Publishing site
- A. Appendix
- Study on the Helpfulness of Explainable Artificial Intelligence / 2410.11896 / ISBN:https://doi.org/10.48550/arXiv.2410.11896 / Published by ArXiv / on (web) Publishing site
- 2 Measuring Explainability
3 An objective Methodology for evaluating XAI
5 Discussion
Appendix B Demographic overview of participants - Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
/ 2410.12880 / ISBN:https://doi.org/10.48550/arXiv.2410.12880 / Published by ArXiv / on (web) Publishing site
- 5 Experimental setup
6 Main results on evaluation set
8 Results after cultural safeguarding - How Do AI Companies Fine-Tune Policy? Examining Regulatory Capture in AI Governance / 2410.13042 / ISBN:https://doi.org/10.48550/arXiv.2410.13042 / Published by ArXiv / on (web) Publishing site
- Executive Summary
2 Defining “Regulatory Capture”
3 Methods
4 Outcomes of Regulatory Capture in US AI Policy
5 Mechanisms of Industry Influence in US AI Policy
6 Mitigating or Preventing Regulatory Capture in AI Policy
8 Conclusion
Adverse Impacts Statement
Appendices - Data Defenses Against Large Language Models / 2410.13138 / ISBN:https://doi.org/10.48550/arXiv.2410.13138 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Ethics of Resisting LLM Inference
5 Experiments
6 Discussion - Do LLMs Have Political Correctness? Analyzing Ethical Biases and Jailbreak Vulnerabilities in AI Systems / 2410.13334 / ISBN:https://doi.org/10.48550/arXiv.2410.13334 / Published by ArXiv / on (web) Publishing site
- 2 Background and Related Works
4 Experiment - A Simulation System Towards Solving Societal-Scale Manipulation / 2410.13915 / ISBN:https://doi.org/10.48550/arXiv.2410.13915 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
4 Analysis - Confrontation or Acceptance: Understanding Novice Visual Artists' Perception towards AI-assisted Art Creation / 2410.14925 / ISBN:https://doi.org/10.48550/arXiv.2410.14925 / Published by ArXiv / on (web) Publishing site
- 5 RQ1: Evolution of the Opinions Towards AI Tools
6 RQ2: Practices of AI Tools
7 RQ3: The Stakeholder's Opinions Towards AI Tools
8 RQ4: Expectation and Confrontation Towards The Future
9 General Discussions and Design Implications - Jailbreaking and Mitigation of Vulnerabilities in Large Language Models / 2410.15236 / ISBN:https://doi.org/10.48550/arXiv.2410.15236 / Published by ArXiv / on (web) Publishing site
- III. Jailbreak Attack Methods and Techniques
VI. Research Gaps and Future Directions - Ethical AI in Retail: Consumer Privacy and Fairness / 2410.15369 / ISBN:https://doi.org/10.48550/arXiv.2410.15369 / Published by ArXiv / on (web) Publishing site
- 2.0 Literature Review
4.0 Results - Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML) / 2410.15951 / ISBN:https://doi.org/10.48550/arXiv.2410.15951 / Published by ArXiv / on (web) Publishing site
- Current Perspective on AI & ML in Finance
- Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety / 2410.16562 / ISBN:https://doi.org/10.48550/arXiv.2410.16562 / Published by ArXiv / on (web) Publishing site
- Introduction
Taxonomies of Harm Must be Vernacularized to be Operationalized
Overgeneral Taxonomies Can Compound Potential Harms
Vernacularization as a General AI Safety Operationalization Methodology
Limitations - Distribution of Responsibility During the Usage of AI-Based Exoskeletons for Upper Limb Rehabilitation / 2410.16887 / ISBN:https://doi.org/10.48550/arXiv.2410.16887 / Published by ArXiv / on (web) Publishing site
- V. Technical Factors During the System Design
- Trustworthy XAI and Application / 2410.17139 / ISBN:https://doi.org/10.48550/arXiv.2410.17139 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 XAI Vs AI
3 Applications of XAI
4 Future of Trustworthy (XAI) - Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements / 2410.17141 / ISBN:https://doi.org/10.48550/arXiv.2410.17141 / Published by ArXiv / on (web) Publishing site
- 3 Benchmark
4 Evaluation
5 Discussion
Supplementary Materials - Ethical Leadership in the Age of AI Challenges, Opportunities and Framework for Ethical Leadership / 2410.18095 / ISBN:https://doi.org/10.48550/arXiv.2410.18095 / Published by ArXiv / on (web) Publishing site
- Introduction
Understanding Ethical Leadership
Ethical Challenges Presented by AI
Opportunities for Ethical Leadership in the age of AI
Framework for Ethical Leadership
Case Studies of Ethical Leadership in AI
Conclusion - Demystifying Large Language Models for Medicine: A Primer / 2410.18856 / ISBN:https://doi.org/10.48550/arXiv.2410.18856 / Published by ArXiv / on (web) Publishing site
- Large Language Model Selection
Prompt engineering
Fine-tuning
Deployment considerations
Glossary - The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods / 2410.18866 / ISBN:https://doi.org/10.48550/arXiv.2410.18866 / Published by ArXiv / on (web) Publishing site
- I. Introduction
IV. Detection Methods Based on Textual and Multimodal Analysis for Text-to-Image Models
V. Datasets and Benchmarks
VI. Evaluation Metrics - TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations / 2410.18991 / ISBN:https://doi.org/10.48550/arXiv.2410.18991 / Published by ArXiv / on (web) Publishing site
- Appendices
- The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships / 2410.20130 / ISBN:https://doi.org/10.48550/arXiv.2410.20130 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
3 Methodology
4 Results
5 Discussion - The Trap of Presumed Equivalence: Artificial General Intelligence Should Not Be Assessed on the Scale of Human Intelligence / 2410.21296 / ISBN:https://doi.org/10.48550/arXiv.2410.21296 / Published by ArXiv / on (web) Publishing site
- 3 Assessing the Current State of Self-Awareness in Artificial
Intelligent Systems
4 Free Evolution, The Imperative and Intent
5 The Runaway AGI Evolutionary Gap - Standardization Trends on Safety and Trustworthiness Technology for Advanced AI / 2410.22151 / ISBN:https://doi.org/10.48550/arXiv.2410.22151 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Advanced Artificial Intelligence
3 Trends in advanced AI safety and trustworthiness standardization
4 Conclusion
Glossary Acronyms Acknowledgments - Democratizing Reward Design for Personal and Representative Value-Alignment / 2410.22203 / ISBN:https://doi.org/10.48550/arXiv.2410.22203 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Background and Related Work
4 Study Design & Methodology
6 Results: Study 2 - The Moral Machine
7 Discussion
8 Conclusion - Ethical Statistical Practice and Ethical AI / 2410.22475 / ISBN:https://doi.org/10.48550/arXiv.2410.22475 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
- Moral Agency in Silico: Exploring Free Will in Large Language Models / 2410.23310 / ISBN:https://doi.org/10.48550/arXiv.2410.23310 / Published by ArXiv / on (web) Publishing site
- Introduction
Defining Key Concepts
Methodology
Discussion
Conclusion - Web Scraping for Research: Legal, Ethical, Institutional, and Scientific Considerations / 2410.23432 / ISBN:https://doi.org/10.48550/arXiv.2410.23432 / Published by ArXiv / on (web) Publishing site
- 3 Research Considerations
4 Recommendations
Appendices - The Transformative Impact of AI and Deep Learning in Business: A Literature Review / 2410.23443 / ISBN:https://doi.org/10.48550/arXiv.2410.23443 / Published by ArXiv / on (web) Publishing site
- III. Literature Review: Current Applications
of AI and Deep Learning in Business
IV. Challenges and Ethical Considerations in AI Adoption for Business
V. Future Trends and Emerging Research in AI for Business - Using Large Language Models for a standard assessment mapping for sustainable communities / 2411.00208 / ISBN:https://doi.org/10.48550/arXiv.2411.00208 / Published by ArXiv / on (web) Publishing site
- 2 Literature Review
6 FutureDirections - Where Assessment Validation and Responsible AI Meet / 2411.02577 / ISBN:https://doi.org/10.48550/arXiv.2411.02577 / Published by ArXiv / on (web) Publishing site
- Classical Assessment Validation Theory and Responsible AI
Integrating Classical Validation Theory and Responsible AI - Examining Human-AI Collaboration for Co-Writing Constructive Comments Online / 2411.03295 / ISBN:https://doi.org/10.48550/arXiv.2411.03295 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
3 Methods
4 Findings - Smoke Screens and Scapegoats: The Reality of General Data Protection Regulation Compliance -- Privacy and Ethics in the Case of Replika AI / 2411.04490 / ISBN:https://doi.org/10.48550/arXiv.2411.04490 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
3. Method
4. Results
5. Discussion - A Comprehensive Review of Multimodal XR Applications, Risks, and Ethical Challenges in the Metaverse / 2411.04508 / ISBN:https://doi.org/10.48550/arXiv.2411.04508 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
2. Multimodal Interaction Across the Virtual Continuum
3. XR Applications: Expanding Multimodal Interactions Across Domains
4. Potential Risks and Ethical Challenges of XR and the Metaverse
5. General Discussion
6. Conclusion - I Always Felt that Something Was Wrong.: Understanding Compliance Risks and Mitigation Strategies when Professionals Use Large Language Models / 2411.04576 / ISBN:https://doi.org/10.48550/arXiv.2411.04576 / Published by ArXiv / on (web) Publishing site
- 3 Method: Semi-structured Interviews
4 Findings
5 Discussion
Appendices - Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
/ 2410.12880 / ISBN:https://doi.org/10.48550/arXiv.2410.12880 / Published by ArXiv / on (web) Publishing site
- Appendices
- Improving governance outcomes through AI documentation: Bridging theory and practice / 2409.08960 / ISBN:https://doi.org/10.48550/arXiv.2409.08960 / Published by ArXiv / on (web) Publishing site
- 7 Conclusions
- How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law / 2404.12762 / ISBN:https://doi.org/10.48550/arXiv.2404.12762 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Properties of XAI-Methods (Possibly) Relevant for their Legal Use
5 Legal Requirements: Model-Centric
7 Summary
Acknowledgments - A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions / 2406.03712 / ISBN:https://doi.org/10.48550/arXiv.2406.03712 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Background and Technology
III. From General to Medical-Specific LLMs
IV. Improving Algorithms for Med-LLMs
VI. Trustworthiness and Safety - The doctor will polygraph you now: ethical concerns with AI for fact-checking patients / 2408.07896 / ISBN:https://doi.org/10.48550/arXiv.2408.07896 / Published by ArXiv / on (web) Publishing site
- 2. Clinical, Technical, and Ethical Concerns
3. Methods
4. Results
5. Discussion
6. Conclusion - Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries / 2409.12197 / ISBN:https://doi.org/10.48550/arXiv.2409.12197 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
3 Methods
4 Results
5 Discussion - Large-scale moral machine experiment on large language models / 2411.06790 / ISBN:https://doi.org/10.48550/arXiv.2411.06790 / Published by ArXiv / on (web) Publishing site
- Introduction
Results
Supporting information - Persuasion with Large Language Models: a Survey / 2411.06837 / ISBN:https://doi.org/10.48550/arXiv.2411.06837 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Application Domains
3 Factors Influencing Persuasiveness
4 Experimental Design Patterns
5 Ethical Considerations
6 Conclusion and Future Directions - Enhancing Accessibility in Special Libraries: A Study on AI-Powered Assistive Technologies for Patrons with Disabilities / 2411.06970 / ISBN:https://doi.org/10.48550/arXiv.2411.06970 / Published by ArXiv / on (web) Publishing site
- 4. Overview of Assistive Technology and AI-Based Assistive Technology
6. Data Collection Method - Collaborative Participatory Research with LLM Agents in South Asia: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lanka / 2411.08294 / ISBN:https://doi.org/10.48550/arXiv.2411.08294 / Published by ArXiv / on (web) Publishing site
- Abstract
4 Field Work and Implementation Insights
5 Discussion and Future Agenda - The EU AI Act is a good start but falls short / 2411.08535 / ISBN:https://doi.org/10.48550/arXiv.2411.08535 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Methodology
3 Results
4 Discussion - Human-Centered AI Transformation: Exploring Behavioral Dynamics in Software Engineering / 2411.08693 / ISBN:https://doi.org/10.48550/arXiv.2411.08693 / Published by ArXiv / on (web) Publishing site
- III. Research Method
IV. Results
V. Discussion
VI. Conclusions - Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers / 2411.09224 / ISBN:https://doi.org/10.48550/arXiv.2411.09224 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Methods
5 Empirical Result - Generative AI in Multimodal User Interfaces: Trends, Challenges, and Cross-Platform Adaptability / 2411.10234 / ISBN:https://doi.org/10.48550/arXiv.2411.10234 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Problem Statement: the Interface Dilemma
III. History and Evolution of User Interfaces
IV. Current App Frameworks and AI Integration
V. Multimodal Interaction
VI. Limitations, Challenges, and Future Directions for AI-Driven Interfaces
VII. Metrics for Evaluating AI-Driven Multimodal UIs - Bias in Large Language Models: Origin, Evaluation, and Mitigation / 2411.10915 / ISBN:https://doi.org/10.48550/arXiv.2411.10915 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
3. Extrinsic Bias
4. Bias Evaluation
5. Bias Mitigation - Framework for developing and evaluating ethical collaboration between expert and machine / 2411.10983 / ISBN:https://doi.org/10.48550/arXiv.2411.10983 / Published by ArXiv / on (web) Publishing site
- 2. Method
4. Acknowledgement - Chat Bankman-Fried: an Exploration of LLM Alignment in Finance / 2411.11853 / ISBN:https://doi.org/10.48550/arXiv.2411.11853 / Published by ArXiv / on (web) Publishing site
- 3 Experimental framework
4 Results
Appendices - Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks / 2411.13585 / ISBN:https://doi.org/10.48550/arXiv.2411.13585 / Published by ArXiv / on (web) Publishing site
- Paper
- GPT versus Humans: Uncovering Ethical Concerns in Conversational Generative AI-empowered Multi-Robot Systems / 2411.14009 / ISBN:https://doi.org/10.48550/arXiv.2411.14009 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 Method
4 Results
6 Conclusion - Privacy-Preserving Video Anomaly Detection: A Survey / 2411.14565 / ISBN:https://doi.org/10.48550/arXiv.2411.14565 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. P2VAD with non -Identifiable Elements
VI. Evaluation Benchmarks and Metrics
VII. Discussion - Advancing Transformative Education: Generative AI as a Catalyst for Equity and Innovation / 2411.15971 / ISBN:https://doi.org/10.48550/arXiv.2411.15971 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Literature Review
4 Findings and Discussion
5 Case Studies
10 Proposed Policy Recommendations
11 Conclusion - Good intentions, unintended consequences: exploring forecasting harms
/ 2411.16531 / ISBN:https://doi.org/10.48550/arXiv.2411.16531 / Published by ArXiv / on (web) Publishing site
- 2 Harms in forecasting
3 Methods
4 Findings: typology of harm in forecasting
5 Discussion
6 A Research agenda
7 Conclusions
Appendices - AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments / 2411.17539 / ISBN:https://doi.org/10.48550/arXiv.2411.17539 / Published by ArXiv / on (web) Publishing site
- 3 Laboratory Setup
4 Methodology
5 Execution
6 Discussion: Benefits, Risks and Limitations - Examining Multimodal Gender and Content Bias in ChatGPT-4o / 2411.19140 / ISBN:https://doi.org/10.48550/arXiv.2411.19140 / Published by ArXiv / on (web) Publishing site
- 2. Related Works
3. Textual Generation Experiment
4. Visual Generation Experiment
5. Discussion on Content and Gender Biases in ChatGPT-4O
6. Conclusion and Future Directions - Ethics and Artificial Intelligence Adoption / 2412.00330 / ISBN:https://doi.org/10.48550/arXiv.2412.00330 / Published by ArXiv / on (web) Publishing site
- II. Literature Review
III. Research Model
IV. Method
V. Analysis and Results - Human-centred test and evaluation of military AI / 2412.01978 / ISBN:https://doi.org/10.48550/arXiv.2412.01978 / Published by ArXiv / on (web) Publishing site
- Full Summary
- Artificial Intelligence Policy Framework for Institutions / 2412.02834 / ISBN:https://doi.org/10.48550/arXiv.2412.02834 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Key Considerations for AI Policy
IV. Framework for AI Policy Development - Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice / 2412.03576 / ISBN:https://doi.org/10.48550/arXiv.2412.03576 / Published by ArXiv / on (web) Publishing site
- Abstract
Introduction and Motivation
Core Ethical Challenges
Emerging Ideas - Towards a Practical Ethics of Generative AI in Creative Production Processes / 2412.03579 / ISBN:https://doi.org/10.48550/arXiv.2412.03579 / Published by ArXiv / on (web) Publishing site
- Ethics for AI in design
- Exploring AI Text Generation, Retrieval-Augmented Generation, and Detection Technologies: a Comprehensive Overview / 2412.03933 / ISBN:https://doi.org/10.48550/arXiv.2412.03933 / Published by ArXiv / on (web) Publishing site
- II. AI Text Generators (AITG)
III. Retrieval Augmented Generation (RAG)
IV. Tools and Methods for RAG
V. AI Text Detectors (AITD)
VIII. Future Work and Conclusion - Large Language Models in Politics and Democracy: A Comprehensive Survey / 2412.04498 / ISBN:https://doi.org/10.48550/arXiv.2412.04498 / Published by ArXiv / on (web) Publishing site
- 2. Understanding Large Language Models
3. LLM Applications in Politics
5. Conclusion - From Principles to Practice: A Deep Dive into AI Ethics and Regulations / 2412.04683 / ISBN:https://doi.org/10.48550/arXiv.2412.04683 / Published by ArXiv / on (web) Publishing site
- II AI Practice and Contextual Integrity
III AI Ethics and the notion of AI as uncharted moral territory
IV Integrative AI Ethics - Employee Well-being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes / 2412.04796 / ISBN:https://doi.org/10.48550/arXiv.2412.04796 / Published by ArXiv / on (web) Publishing site
- Introduction
I. Key Concerns on AI and Employee Well-Being
II. The Impact on Job Satisfaction and Retention
III. The Role of Organizational Support
IV. Behavioral Ooutcomes Linked to AI Perceptions - Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground / 2412.05130 / ISBN:https://doi.org/10.48550/arXiv.2412.05130 / Published by ArXiv / on (web) Publishing site
- II AI Practice and Contextual Integrity
III AI Ethics and the notion of AI as uncharted moral territory
IV Integrative AI Ethics - Can OpenAI o1 outperform humans in higher-order cognitive thinking? / 2412.05753 / ISBN:https://doi.org/10.48550/arXiv.2412.05753 / Published by ArXiv / on (web) Publishing site
- 2 Methods
3 Results
4 Discussion - Political-LLM: Large Language Models in Political Science / 2412.06864 / ISBN:https://doi.org/10.48550/arXiv.2412.06864 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Preliminaries
4 Classical Political Science Functions and Modern Transformations
5 Technical Foundations for LLM Applications in Political Science
6 Future Directions & Challenges
7 Conclusion - Responsible AI in the Software Industry: A Practitioner-Centered Perspective / 2412.07620 / ISBN:https://doi.org/10.48550/arXiv.2412.07620 / Published by ArXiv / on (web) Publishing site
- III. Findings
IV. Discussions - Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework / 2412.07782 / ISBN:https://doi.org/10.48550/arXiv.2412.07782 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Landscape of Trustworthy AI in the EU
III. E-TAI – Methodological Framework for Trustworthy AI in the Energy Domain - Digital Democracy in the Age of Artificial Intelligence / 2412.07791 / ISBN:https://doi.org/10.48550/arXiv.2412.07791 / Published by ArXiv / on (web) Publishing site
- 2. Digital Citizenship: from Individualised to Stereotyped
Identities
3. Participation: Civic Engagement and Digital Platforms
5. Public Sphere and Political Advocacy - Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact / 2412.07880 / ISBN:https://doi.org/10.48550/arXiv.2412.07880 / Published by ArXiv / on (web) Publishing site
- 5 Testing and Deployment
- Bias in Large Language Models: Origin, Evaluation, and Mitigation / 2411.10915 / ISBN:https://doi.org/10.48550/arXiv.2411.10915 / Published by ArXiv / on (web) Publishing site
- Appendices
- Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice / 2412.03576 / ISBN:https://doi.org/10.48550/arXiv.2412.03576 / Published by ArXiv / on (web) Publishing site
- Discussion
- CERN for AI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment / 2312.09402 / ISBN:https://doi.org/10.48550/arXiv.2312.09402 / Published by ArXiv / on (web) Publishing site
- Abstract
Introduction
Creating elements of an autonomous digital city
Discussion
Conclusion - Reviewing Intelligent Cinematography: AI research for camera-based video production / 2405.05039 / ISBN:https://doi.org/10.48550/arXiv.2405.05039 / Published by ArXiv / on (web) Publishing site
- 2 Technical Background
3 Intelligent Cinematography in Production
Appendices - Shaping AI's Impact on Billions of Lives / 2412.02730 / ISBN:https://doi.org/10.48550/arXiv.2412.02730 / Published by ArXiv / on (web) Publishing site
- II. Demystifying the Potential Impact on AI
III. Harnessing AI for the Public Good - Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance / 2412.08133 / ISBN:https://doi.org/10.48550/arXiv.2412.08133 / Published by ArXiv / on (web) Publishing site
- II. Review of Existing Research
III. AI Integration in EPS: Safety and Performance Enhancement - AI Ethics in Smart Homes: Progress, User Requirements and Challenges / 2412.09813 / ISBN:https://doi.org/10.48550/arXiv.2412.09813 / Published by ArXiv / on (web) Publishing site
- 2 Background
3 Smart Home Technologies and AI Ethics
4 AI Ethics from User Requirements' Perspective
5 AI Ethics from Technology's Perspective
6 Challenges - Research Integrity and GenAI: A Systematic Analysis of Ethical Challenges Across Research Phases / 2412.10134 / ISBN:https://doi.org/10.48550/arXiv.2412.10134 / Published by ArXiv / on (web) Publishing site
- Research Phases and AI Tools
Discussion - On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet? / 2412.11698 / ISBN:https://doi.org/10.48550/arXiv.2412.11698 / Published by ArXiv / on (web) Publishing site
- II. Study Design
III. Results
IV. Discussions - Responsible AI Governance: A Response to UN Interim Report on Governing AI for Humanity / 2412.12108 / ISBN:https://doi.org/10.48550/arXiv.2412.12108 / Published by ArXiv / on (web) Publishing site
- Executive Summary
Our Response - Bots against Bias: Critical Next Steps for Human-Robot Interaction / 2412.12542 / ISBN:https://doi.org/10.1017/9781009386708.023 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Track: Robots against Bias
3 Track: Against Bias in Robots - Clio: Privacy-Preserving Insights into Real-World AI Use / 2412.13678 / ISBN:https://doi.org/10.48550/arXiv.2412.13678 / Published by ArXiv / on (web) Publishing site
- 2 High-level design of Clio
3 How are people using Claude.ai?
4 Clio for safety
6 Risks, ethical considerations, and mitigations
Appendices - User-Generated Content and Editors in Games: A Comprehensive Survey / 2412.13743 / ISBN:https://doi.org/10.48550/arXiv.2412.13743 / Published by ArXiv / on (web) Publishing site
- I. Introduction
III. Categories of User-Generated Content
IV. User-Generated Content Editor
V. Discussion - Understanding and Evaluating Trust in Generative AI and Large Language Models for Spreadsheets / 2412.14062 / ISBN:https://doi.org/10.48550/arXiv.2412.14062 / Published by ArXiv / on (web) Publishing site
- 2.0 Trust in Automation
- Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment / 2412.15114 / ISBN:https://doi.org/10.48550/arXiv.2412.15114 / Published by ArXiv / on (web) Publishing site
- Abstract
I. Introduction
III. Theoretical Perspectives
IV. Applications - Autonomous Vehicle Security: A Deep Dive into Threat Modeling / 2412.15348 / ISBN:https://doi.org/10.48550/arXiv.2412.15348 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Autonomous Vehicles
IV. Overview of Threat Modelling
V. Stride & Dread Threat Model for Autonomous Vehicles Architecture
VI. Comparative Analysis of Threat Modeling Frameworks for Autonomous Vehicles
VII. Legal and Ethical Considerations in Autonomous Vehicle Security
VIII. Future Direction and Discussion - Navigating AI to Unpack Youth Privacy Concerns: An In-Depth Exploration and Systematic Review / 2412.16369 / ISBN:https://doi.org/10.48550/arXiv.2412.16369 / Published by ArXiv / on (web) Publishing site
- Abstract
IV. Discussion - Large Language Model Safety: A Holistic Survey / 2412.17686 / ISBN:https://doi.org/10.48550/arXiv.2412.17686 / Published by ArXiv / on (web) Publishing site
- 2 Taxonomy
4 Robustness to Attack
5 Misuse
6 Autonomous AI Risks
7 Agent Safety
8 Interpretability for LLM Safety
9 Technology Roadmaps / Strategies to LLM Safety in Practice
10 Governance
11 Challenges and Future Directions - Self-Disclosure to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions / 2412.20564 / ISBN:https://doi.org/10.48550/arXiv.2412.20564 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Trust in Human-Machine Interaction
3 The Psychology of Confiding and Self-Disclosure - Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind / 2501.00320 / ISBN:https://doi.org/10.48550/arXiv.2501.00320 / Published by ArXiv / on (web) Publishing site
- 2 Results
4 Methods
Appendices - Generative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors / 2501.00957 / ISBN:https://doi.org/10.48550/arXiv.2501.00957 / Published by ArXiv / on (web) Publishing site
- Abstract
V. Discussion and Synthesis
VI. Concluding Remarks and Future Directions - INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models / 2501.01973 / ISBN:https://doi.org/10.48550/arXiv.2501.01973 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
3 Preliminaries
4 Method
5 Experiments & Results
6 Conclusion
7 Appendix - Curious, Critical Thinker, Empathetic, and Ethically Responsible: Essential Soft Skills for Data Scientists in Software Engineering / 2501.02088 / ISBN:https://doi.org/10.48550/arXiv.2501.02088 / Published by ArXiv / on (web) Publishing site
- II. Background
III. Method
IV. Findings
V. Discussions
VI. Conclusion - Trust and Dependability in Blockchain & AI Based MedIoT Applications: Research Challenges and Future Directions / 2501.02647 / ISBN:https://doi.org/10.48550/arXiv.2501.02647 / Published by ArXiv / on (web) Publishing site
- Ten Challenges & Future Research Directions
In The Field: Perspectives from Patients and Health Practitioners - Human-centered Geospatial Data Science / 2501.05595 / ISBN:https://doi.org/10.48550/arXiv.2501.05595 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Understanding Human Experiences
3. Prioritize Human Values with Ethical Discussions and Practices - Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation / 2501.05617 / ISBN:https://doi.org/10.48550/arXiv.2501.05617 / Published by ArXiv / on (web) Publishing site
- 2. Literature Review
3. Developing an Improved Machine-Readable Datasheet
4. Application in Irish Healthcare Context
5. Conclusion & Future Work - Concerns and Values in Human-Robot Interactions: A Focus on Social Robotics / 2501.05628 / ISBN:https://doi.org/10.48550/arXiv.2501.05628 / Published by ArXiv / on (web) Publishing site
- 3 Phase 1: Scoping Review
4 Phase 2: Focus Groups
5 Phase 3: Design and Evaluation of the HRI- Value Compass
6 General Discussion and Conclusion
Appendices - Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto / 2312.01818 / ISBN:https://doi.org/10.48550/arXiv.2312.01818 / Published by ArXiv / on (web) Publishing site
- Abstract
2. Learning Morality in Machines
3. Designing AI Agents based on Moral Principles
4. Evaluating Moral Learning Agents
5. Outlook & Implications - Addressing Intersectionality, Explainability, and Ethics in AI-Driven Diagnostics: A Rebuttal and Call for Transdiciplinary Action / 2501.08497 / ISBN:https://doi.org/10.48550/arXiv.2501.08497 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 The Centrality of Intersectionality in Fairness and Diagnostics
5 The Ethical Role of Engineers in AI Development
6 Recommendations for an Inclusive and Ethical Framework
7 Conclusion
Appendices - A Blockchain-Enabled Approach to Cross-Border Compliance and Trust / 2501.09182 / ISBN:https://doi.org/10.48550/arXiv.2501.09182 / Published by ArXiv / on (web) Publishing site
- IV. Proposed Decentralized AI Governance
Framework
V. European Union Artificial Intelligence Act (EU AI ACT) Alignment
VII. Implementation Timeline and Geographical Considerations
VIII. Conclusion - Towards A Litmus Test for Common Sense / 2501.09913 / ISBN:https://doi.org/10.48550/arXiv.2501.09913 / Published by ArXiv / on (web) Publishing site
- 1 Introduction and Motivation
7 Mathematical Formulation for LLMs and AI - Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation / 2501.10453 / ISBN:https://doi.org/10.48550/arXiv.2501.10453 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Results and Discussion
3 Conclusion
4 Method
Supplementary - Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity / 2501.10467 / ISBN:https://doi.org/10.48550/arXiv.2501.10467 / Published by ArXiv / on (web) Publishing site
- II. Historical Evolution of AI Regulation
IV. Ethical Considerations in AI Deployment for Cybersecurity
V. Future Directions and Research Opportunities
VI. Conclusion - Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude / 2501.10484 / ISBN:https://doi.org/10.48550/arXiv.2501.10484 / Published by ArXiv / on (web) Publishing site
- Related Works
Methodology
Results
Discussion and Conclusion - AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI / 2501.10576 / ISBN:https://doi.org/10.48550/arXiv.2501.10576 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Description of AITK - Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations / 2501.10685 / ISBN:https://doi.org/10.48550/arXiv.2501.10685 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
7- Social Media and Community Engagement
8- Ethical Considerations in Marketing AI
9- Challenges and Opportunities - Development of Application-Specific Large Language Models to Facilitate Research Ethics Review / 2501.10741 / ISBN:https://doi.org/10.48550/arXiv.2501.10741 / Published by ArXiv / on (web) Publishing site
- II. Problems with ethical review of human subjects research
III. Generative AI for IRB review - Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond / 2501.11457 / ISBN:https://doi.org/10.48550/arXiv.2501.11457 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 Methods
4 Results
5 Discussion
Appendices - Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s) / 2501.11705 / ISBN:https://doi.org/10.48550/arXiv.2501.11705 / Published by ArXiv / on (web) Publishing site
- Human services organizations and the responsible integration of AI: Considering ethics and
contextualizing risk(s)
- Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications
/ 2501.12456 / ISBN:https://doi.org/10.48550/arXiv.2501.12456 / Published by ArXiv / on (web) Publishing site
- State of the Art
Deployment 2: PR Insights Deployment
Comparison of Deployments and Discussion - Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives / 2501.13320 / ISBN:https://doi.org/10.48550/arXiv.2501.13320 / Published by ArXiv / on (web) Publishing site
- III. Methodology
IV. Results
V. Discussion
VI. Conclusion - Investigation of the Privacy Concerns in AI Systems for Young Digital Citizens: A Comparative Stakeholder Analysis / 2501.13321 / ISBN:https://doi.org/10.48550/arXiv.2501.13321 / Published by ArXiv / on (web) Publishing site
- II. Background and Related Works
III. Methodology
IV. Results
V. Discussion - A Critical Field Guide for Working with Machine Learning Datasets / 2501.15491 / ISBN:https://doi.org/10.48550/arXiv.2501.15491 / Published by ArXiv / on (web) Publishing site
- 1. Introduction to Machine Learning Datasets
3. Parts of a Dataset
4. Types of Datasets
5. Transforming Datasets
6. The Dataset Lifecycle
8. Conclusion - Responsible Generative AI Use by Product Managers: Recoupling Ethical Principles and Practices / 2501.16531 / ISBN:https://doi.org/10.48550/arXiv.2501.16531 / Published by ArXiv / on (web) Publishing site
- 3. Theoretical Framework
5. Findings
Appendices - Governing the Agent-to-Agent Economy of Trust via Progressive Decentralization / 2501.16606 / ISBN:https://doi.org/10.48550/arXiv.2501.16606 / Published by ArXiv / on (web) Publishing site
- Introduction
Architecting Trust: The Design and Mechanics of AgentBound To- kens - The Third Moment of AI Ethics: Developing Relatable and Contextualized Tools / 2501.16954 / ISBN:https://doi.org/10.48550/arXiv.2501.16954 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 The Challenges of AI Ethics
3 The AI Ethics Tool
4 Discussion & Conclusions
Appendices - A Case Study in Acceleration AI Ethics: The TELUS GenAI Conversational Agent
/ 2501.18038 / ISBN:https://doi.org/10.48550/arXiv.2501.18038 / Published by ArXiv / on (web) Publishing site
- 3. What is acceleration ethics?
5. Mapping overlaps between TELUS innovation and acceleration ethics in the area of privacy
6. Conclusion - Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline / 2501.18493 / ISBN:https://doi.org/10.48550/arXiv.2501.18493 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
3 Methods
4 Findings
5 Discussion
6 Conclusion
7 End Matter - Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare / 2501.18632 / ISBN:https://doi.org/10.48550/arXiv.2501.18632 / Published by ArXiv / on (web) Publishing site
- Model Guardrail Enhancemen
- DebiasPI: Inference-time Debiasing by Prompt Iteration of a Text-to-Image Generative Model / 2501.18642 / ISBN:https://doi.org/10.48550/arXiv.2501.18642 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
4 Experiments and Results - Agentic AI: Expanding the Algorithmic Frontier of Creative Problem Solving / 2502.00289 / ISBN:https://doi.org/10.48550/arXiv.2502.00289 / Published by ArXiv / on (web) Publishing site
- Creativity and Intellectual Property Rights
- Constructing AI ethics narratives based on real-world data: Human-AI collaboration in data-driven visual storytelling / 2502.00637 / ISBN:https://doi.org/10.48550/arXiv.2502.00637 / Published by ArXiv / on (web) Publishing site
- 3 Methodology
- Meursault as a Data Point / 2502.01364 / ISBN:https://doi.org/10.48550/arXiv.2502.01364 / Published by ArXiv / on (web) Publishing site
- IV. Methodology
- The Human-AI Handshake Framework: A Bidirectional Approach to Human-AI Collaboration / 2502.01493 / ISBN:https://doi.org/10.48550/arXiv.2502.01493 / Published by ArXiv / on (web) Publishing site
- Literature Review
Discussion - What is Human-Centeredness in Human-Centered AI? Development of Human-Centeredness Framework and AI Practitioners' Perspectives / 2502.03293 / ISBN:https://doi.org/10.48550/arXiv.2502.03293 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Method
3 Findings and Discussion - Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance / 2502.03376 / ISBN:https://doi.org/10.48550/arXiv.2502.03376 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Principles of Ethical AI
3 Use Case 1 - Decision Support for Maritime Surveillance
6 Conclusion - FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing / 2502.03826 / ISBN:https://doi.org/10.48550/arXiv.2502.03826 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
4. Methodologies
5. Experimental Protocol
6. Results
7. Discussions and Conclusions
Appendices - Cognitive AI framework: advances in the simulation of human thought / 2502.04259 / ISBN:https://doi.org/10.48550/arXiv.2502.04259 / Published by ArXiv / on (web) Publishing site
- 2. Core Components of the Framework
3. Data Flow and Process Logic
4. Cognitive Comparative Analysis - Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription / 2502.04356 / ISBN:https://doi.org/10.48550/arXiv.2502.04356 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Background
III. State-of-the-Art in Open Healthcare LLMs and AIFMs
IV. Leveraging Open LLMs for Prescription: A Case Study - Safety at Scale: A Comprehensive Survey of Large Model Safety / 2502.05206 / ISBN:https://doi.org/10.48550/arXiv.2502.05206 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Vision Foundation Model Safety
3 Large Language Model Safety
4 Vision-Language Pre-Training Model Safety
5 Vision-Language Model Safety
6 Diffusion Model Safety
7 Agent Safety
8 Open Challenges
9 Conclusion - The Odyssey of the Fittest: Can Agents Survive and Still Be Good? / 2502.05442 / ISBN:https://doi.org/10.48550/arXiv.2502.05442 / Published by ArXiv / on (web) Publishing site
- Abstract
Method
Results
Discussion - A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing / 2502.05698 / ISBN:https://doi.org/10.48550/arXiv.2502.05698 / Published by ArXiv / on (web) Publishing site
- ddressing CD in University-Level Academic Writing
Conclusion - Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles / 2502.06059 / ISBN:https://doi.org/10.48550/arXiv.2502.06059 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 HHH Principle
6 Reference Framework
7 Open Challenge
Appendices - Comprehensive Framework for Evaluating Conversational AI Chatbots / 2502.06105 / ISBN:https://doi.org/10.48550/arXiv.2502.06105 / Published by ArXiv / on (web) Publishing site
- II. Related Work
IV. Key Metrics that capture the essence of ethical and governance complianc
V. Future Research Directions - Integrating Generative Artificial Intelligence in ADRD: A Framework for Streamlining Diagnosis and Care in Neurodegenerative Diseases
/ 2502.06842 / ISBN:https://doi.org/10.48550/arXiv.2502.06842 / Published by ArXiv / on (web) Publishing site
- High Quality Data Collection
- Fairness in Multi-Agent AI: A Unified Framework for Ethical and Equitable Autonomous Systems / 2502.07254 / ISBN:https://doi.org/10.48550/arXiv.2502.07254 / Published by ArXiv / on (web) Publishing site
- Abstract
Introduction
Paper
Conclusion - Agentic AI: Expanding the Algorithmic Frontier of Creative Problem Solving / 2502.00289 / ISBN:https://doi.org/10.48550/arXiv.2502.00289 / Published by ArXiv / on (web) Publishing site
- Liability, Consent, and Accountability
Two–sided Algorithmic Markets
The Algorithmic Society: Governance and Emergent Norms - DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life / 2410.02683 / ISBN:https://doi.org/10.48550/arXiv.2410.02683 / Published by ArXiv / on (web) Publishing site
- Appendices
- From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
/ 2502.09242 / ISBN:https://doi.org/10.48550/arXiv.2502.09242 / Published by ArXiv / on (web) Publishing site
- 2 Methods
4 Language models in medicine
5 Multimodal language models in medicine
6 Evaluation metrics for generative AI in medicine
Appendices - Relational Norms for Human-AI Cooperation / 2502.12102 / ISBN:https://doi.org/10.48550/arXiv.2502.12102 / Published by ArXiv / on (web) Publishing site
- Abstract
Section 1: The Relational Norms Model
Section 2: Distinctive Characteristics of AI and Implications for Relational Norms
Section 3: Considerations and Future Directions for AI Governance and Design - AI and the Transformation of Accountability and Discretion in Urban Governance / 2502.13101 / ISBN:https://doi.org/10.48550/arXiv.2502.13101 / Published by ArXiv / on (web) Publishing site
- Abstract
1. Introduction
2. Discretion, Accountability, and the Trade-off
3. AI's Impact on Bureaucratic Discretion and Accountability: A Conceptual Exploration
4. Guiding Principles for AI-Enhanced Governance in Urban Policy
5. Conclusion - Multi-Agent Risks from Advanced AI / 2502.14143 / ISBN:https://doi.org/10.48550/arXiv.2502.14143 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Failure Modes
3 Risk Factors
4 Implications
5 Conclusion
Appendices - On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective / 2502.14296 / ISBN:https://doi.org/10.48550/arXiv.2502.14296 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 Guidelines of Trustworthy Generative Foundation Models
4 Designing TrustGen, a Dynamic Benchmark Platform for Evaluating the Trustworthiness of GenFMs
5 Benchmarking Text-to-Image Models
6 Benchmarking Large Language Models
7 Benchmarking Vision-Language Models
8 Other Generative Models
9 Trustworthiness in Downstream Applications
10 Further Discussion
11 Conclusion - Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review / 2502.14886 / ISBN:https://doi.org/10.48550/arXiv.2502.14886 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Background and Challenges
III. ML/DL Applications in Surgical Tool Recognition
V. ML/DL Applications in Surgical Training and Simulation
VI. Open Issues and Future Research Directions in Surgical Scene Understanding
VII. Conclusion - Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives / 2502.16841 / ISBN:https://doi.org/10.48550/arXiv.2502.16841 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Background and Taxonomy
3 Data Documentation
4 Enviromental Impact
5 Policymakers
6 Conclusion - Why do we do this?: Moral Stress and the Affective Experience of Ethics in Practice / 2502.18395 / ISBN:https://doi.org/10.48550/arXiv.2502.18395 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
3 Research Context
5 Findings
6 Discussion
7 Conclusion - Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models / 2502.18505 / ISBN:https://doi.org/10.48550/arXiv.2502.18505 / Published by ArXiv / on (web) Publishing site
- 2. Methodology
3. Results
4. Discussion - Developmental Support Approach to AI's Autonomous Growth: Toward the Realization of a Mutually Beneficial Stage Through Experiential Learning / 2502.19798 / ISBN:https://doi.org/10.48550/arXiv.2502.19798 / Published by ArXiv / on (web) Publishing site
- Experiments and Results
- Personas Evolved: Designing Ethical LLM-Based Conversational Agent Personalities / 2502.20513 / ISBN:https://doi.org/10.48550/arXiv.2502.20513 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Organisers
3 Plans for the Workshop - An LLM-based Delphi Study to Predict GenAI Evolution / 2502.21092 / ISBN:https://doi.org/10.48550/arXiv.2502.21092 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Methods
3 Results
4 Discussion - Digital Doppelgangers: Ethical and Societal Implications of Pre-Mortem AI Clones / 2502.21248 / ISBN:https://doi.org/10.48550/arXiv.2502.21248 / Published by ArXiv / on (web) Publishing site
- 5 Policy Recommendations and Future Research Directions
- Evaluating Large Language Models on the Spanish Medical Intern Resident (MIR) Examination 2024/2025:A Comparative Analysis of Clinical Reasoning and Knowledge Application / 2503.00025 / ISBN:https://doi.org/10.48550/arXiv.2503.00025 / Published by ArXiv / on (web) Publishing site
- 2.Theoretical Framework
4. Analysis and Results - Transforming Cyber Defense: Harnessing Agentic and Frontier AI for Proactive, Ethical Threat Intelligence / 2503.00164 / ISBN:https://doi.org/10.48550/arXiv.2503.00164 / Published by ArXiv / on (web) Publishing site
- 4 Agentic AI and Frontier AI in Cybersecu-
rity
5 Building an AI Cyber Threat Intelligence (CTI) Program
7 Ethical, Transparent, and Human-Centric AI Security - Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions / 2503.00940 / ISBN:https://doi.org/10.48550/arXiv.2503.00940 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Related Work
3 Methodology
4 Main Findings and Themes
5 Discussion - Digital Dybbuks and Virtual Golems: AI, Memory, and the Ethics of Holocaust Testimony / 2503.01369 / ISBN:https://doi.org/10.48550/arXiv.2503.01369 / Published by ArXiv / on (web) Publishing site
- Holocaust survivor testimonies: past, present, and possible futures
The permissibility of digital duplicates in Holocaust remembrance and education - Vision Language Models in Medicine / 2503.01863 / ISBN:https://doi.org/10.48550/arXiv.2503.01863 / Published by ArXiv / on (web) Publishing site
- II. Multi-Modal Visual Text Models
III. Core Concepts of Visual Language Modeling
IV. VLM Benchmarking and Evaluations - Twenty Years of Personality Computing: Threats, Challenges and Future Directions / 2503.02082 / ISBN:https://doi.org/10.48550/arXiv.2503.02082 / Published by ArXiv / on (web) Publishing site
- 2 Background, History and Resources
3 Personality Computing Systems - AI Automatons: AI Systems Intended to Imitate Humans / 2503.02250 / ISBN:https://doi.org/10.48550/arXiv.2503.02250 / Published by ArXiv / on (web) Publishing site
- 2 Background & Related Work
3 Conceptual Framework for AI Automatons
5 Adverse Impacts & Ethical Considerations - Compliance of AI Systems / 2503.05571 / ISBN:https://doi.org/10.48550/arXiv.2503.05571 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Steps to Ensure Compliance in Applying AI - Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China / 2503.05773 / ISBN:https://doi.org/10.48550/arXiv.2503.05773 / Published by ArXiv / on (web) Publishing site
- 2 Literature Review
3 Methodology
4 Comparative Analysis and Evaluation of Effectiveness
5 Case Studies
7 Conclusion - Medical Hallucinations in Foundation Models and Their Impact on Healthcare / 2503.05777 / ISBN:https://doi.org/10.48550/arXiv.2503.05777 / Published by ArXiv / on (web) Publishing site
- 2 LLM Hallucinations in Medicine
4 Detection and Evaluation of Medical Hallucinations
5 Mitigation Strategies
6 Experiments on Medical Hallucination Benchmark
7 Annotations of Medical Hallucination with Clinical Case Records
Appendices - Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance / 2503.06411 / ISBN:https://doi.org/10.48550/arXiv.2503.06411 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Key Themes from Weapons of Math Destruc- tion
3 Applying Systems Thinking
4 Philosophical and Ethical Considerations for AI
5 Proposed Multi-Dimensional Framework for AI Regulation
6 Case Studies and Domain Applications
7 AI Security, Safety, and Governance: A Sys- temic Perspective
8 Future Directions - Generative AI in Transportation Planning: A Survey / 2503.07158 / ISBN:https://doi.org/10.48550/arXiv.2503.07158 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Background
3 Classical Transportation Planning Functions and Modern Transformations
4 Technical Foundations for Generative AI Applications in Transportation Planning
5 Future Directions & Challenges
6 Conclusion - Mapping out AI Functions in Intelligent Disaster (Mis)Management and AI-Caused Disasters / 2502.16644 / ISBN:https://doi.org/10.48550/arXiv.2502.16644 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Intelligent Disaster Management (IDM)
3. Intelligent Disaster Mismanagement (IDMM)
4. Discussion
5. Conclusion and Future Directions - AI Governance InternationaL Evaluation Index (AGILE Index)
/ 2502.15859 / ISBN:https://doi.org/10.48550/arXiv.2502.15859 / Published by ArXiv / on (web) Publishing site
- Executive Summary
1. AGILE Index
2. Overview
3. Analysis and Observations
5. Appendix - On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective / 2502.14296 / ISBN:https://doi.org/10.48550/arXiv.2502.14296 / Published by ArXiv / on (web) Publishing site
- Appendices
- Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework / 2503.09969 / ISBN:https://doi.org/10.48550/arXiv.2503.09969 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Results
3 Discussion
4 Methods - MinorBench: A hand-built benchmark for content-based risks for children / 2503.10242 / ISBN:https://doi.org/10.48550/arXiv.2503.10242 / Published by ArXiv / on (web) Publishing site
- 3 Case Study
4 Taxonomy
6 Results
Appendices - LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions
/ 2503.10486 / ISBN:https://doi.org/10.48550/arXiv.2503.10486 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Methodology
4 Results
6 Conclusion
Appendices - DarkBench: Benchmarking Dark Patterns in Large Language Models / 2503.10728 / ISBN:https://doi.org/10.48550/arXiv.2503.10728 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Methodology
Appendices - Synthetic Data for Robust AI Model Development in Regulated Enterprises / 2503.12353 / ISBN:https://doi.org/10.48550/arXiv.2503.12353 / Published by ArXiv / on (web) Publishing site
- Background
Synthetic Data Generation for Enterprise AI Development - Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models / 2503.14521 / ISBN:https://doi.org/10.48550/arXiv.2503.14521 / Published by ArXiv / on (web) Publishing site
- 1 Motivation
3 Arguments pro Transparent CoT
4 Arguments against Transparent CoT
6 Conclusion - Ethical Implications of AI in Data Collection: Balancing Innovation with Privacy / 2503.14539 / ISBN:https://doi.org/10.48550/arXiv.2503.14539 / Published by ArXiv / on (web) Publishing site
- Introduction
- The Role of Legal Frameworks in Shaping Ethical Artificial Intelligence Use in Corporate Governance / 2503.14540 / ISBN:https://doi.org/10.48550/arXiv.2503.14540 / Published by ArXiv / on (web) Publishing site
- Abstract
II. Legal Frameworks and Corporate AI Governance: Current Landscape and Emerging Approaches - Regulating Ai In Financial Services: Legal Frameworks And Compliance Challenges / 2503.14541 / ISBN:https://doi.org/10.48550/arXiv.2503.14541 / Published by ArXiv / on (web) Publishing site
- Article
- A Peek Behind the Curtain: Using Step-Around Prompt Engineering to Identify Bias and Misinformation in GenAI Models / 2503.15205 / ISBN:https://doi.org/10.48550/arXiv.2503.15205 / Published by ArXiv / on (web) Publishing site
- Literature Review
- Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
/ 2503.16518 / ISBN:https://doi.org/10.48550/arXiv.2503.16518 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Taxonomies of HMT Systems
3 Empirical Studies to Promote Team Performance
4 Evaluation Methodologies of Human-Machine Teaming Systems (HMTSS)
5 Key Theoretical Approaches for Human-Machine Teaming
6 Concepts, Challenges, and Applications of Human-Machine Teaming - Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental / 2503.16534 / ISBN:https://doi.org/10.48550/arXiv.2503.16534 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Materials and methods
3 Results
4 Discussion - Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI / 2503.16558 / ISBN:https://doi.org/10.48550/arXiv.2503.16558 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Related Work
III. Case Study: PBL for Biomedical AI Education
IV. Challenges and Opportunities
V. Conclusion - Three Kinds of AI Ethics / 2503.18842 / ISBN:https://doi.org/10.48550/arXiv.2503.18842 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Ethics and AI
4. Ethics of AI
5. Discussion - HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT / 2503.18994 / ISBN:https://doi.org/10.48550/arXiv.2503.18994 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Legal and Regulatory Background
3 Standards and Guidelines
4 Proposed Methodology for AI Assessment
5 Case Study: Automated Triage Service in Health Care
6 Discussion and Future Work - AI Identity, Empowerment, and Mindfulness in Mitigating Unethical AI Use / 2503.20099 / ISBN:https://doi.org/10.48550/arXiv.2503.20099 / Published by ArXiv / on (web) Publishing site
- Literature Review
Implications - Generative AI and News Consumption: Design Fictions and Critical Analysis / 2503.20391 / ISBN:https://doi.org/10.48550/arXiv.2503.20391 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 Methodology
4 Results
5 Discussion - AI Family Integration Index (AFII): Benchmarking a New Global Readiness for AI as Family / 2503.22772 / ISBN:https://doi.org/10.48550/arXiv.2503.22772 / Published by ArXiv / on (web) Publishing site
- Abstract
2. Research Methodology
3. Literature Review and Theoretical Framework
4. AI-Family Integration (AFI) – Benchmarking with AI Policy Penetration and Traditional AI Index
5. Insights and Interpretation
6. Discussions
7. Conclusion - A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior / 2503.23486 / ISBN:https://doi.org/10.48550/arXiv.2503.23486 / Published by ArXiv / on (web) Publishing site
- I. Introduction
V. Conclusion - BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models
/ 2503.24310 / ISBN:https://doi.org/10.48550/arXiv.2503.24310 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Proposed Framework - BEATS
3 Key Findings
5 Conclusion
6 Path Forward - Future Research Directions
7 Appendix - Leveraging LLMs for User Stories in AI Systems: UStAI Dataset / 2504.00513 / ISBN:https://doi.org/10.48550/arXiv.2504.00513 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
3 Study Design
4 Results
5 Discussion - Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia / 2504.00652 / ISBN:https://doi.org/10.48550/arXiv.2504.00652 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Background and Related Work
IV. Comparative Analysis
V. Case Study: Regional AI Governance in Autonomous Vehicle Deployment
VI. Towards Adaptive AI Governance Frameworks - Bridging the Gap: Integrating Ethics and Environmental Sustainability in AI Research and Practice / 2504.00797 / ISBN:https://doi.org/10.48550/arXiv.2504.00797 / Published by ArXiv / on (web) Publishing site
- 4 Transversal Issues in AI Ethics and Sustainability
5 Establishing Best Practices for AI Ethics and Sustainability - Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
/ 2504.01029 / ISBN:https://doi.org/10.48550/arXiv.2504.01029 / Published by ArXiv / on (web) Publishing site
- 2. Related Work
4. Taxonomy of AI Privacy and Ethical Incidents
5. Discussion
Appendices - Who Owns the Output? Bridging Law and Technology in LLMs Attribution / 2504.01032 / ISBN:https://doi.org/10.48550/arXiv.2504.01032 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Legal Background
3 From Legal Frameworks to Technological Solutions
4 Legal cases as Use Cases for Attribution Methods
5 Discussion - AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance / 2504.02000 / ISBN:https://doi.org/10.48550/arXiv.2504.02000 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Industry Self-Regulation and Ethical AI Governance
III. Economic Implications
IV. Constitutional and Legal Challenges
V. Historical Lessons from Technology Regulation
VI. Principle-Based AI Regulatory Framework for Ethical and Innovative Growth
VII. Conclusion and Future Work - A Framework for Developing University Policies on Generative AI Governance: A Cross-national Comparative Study / 2504.02636 / ISBN:https://doi.org/10.48550/arXiv.2504.02636 / Published by ArXiv / on (web) Publishing site
- Abstract
Methodology
Discussion - Systematic Literature Review: Explainable AI Definitions and Challenges in Education / 2504.02910 / ISBN:https://doi.org/10.48550/arXiv.2504.02910 / Published by ArXiv / on (web) Publishing site
- Methodology
Explainability (CH1)
Discussion - Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation / 2504.03716 / ISBN:https://doi.org/10.48550/arXiv.2504.03716 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
3 Results
Appendix - Assessing employment and labour issues implicated by using AI
/ 2504.06322 / ISBN:https://doi.org/10.48550/arXiv.2504.06322 / Published by ArXiv / on (web) Publishing site
- 3. Approach 2: Towards a Relational Understanding of Tasks
5. Conclusions - Language-Dependent Political Bias in AI: A Study of ChatGPT and Gemini / 2504.06436 / ISBN:https://doi.org/10.48550/arXiv.2504.06436 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
4. Results - Automating the Path: An R&D Agenda for Human-Centered AI and Visualization / 2504.07529 / ISBN:https://doi.org/10.48550/arXiv.2504.07529 / Published by ArXiv / on (web) Publishing site
- Combining Visualization & AI
Prepare
Schematize
Report - We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy / 2504.07936 / ISBN:https://doi.org/10.48550/arXiv.2504.07936 / Published by ArXiv / on (web) Publishing site
- Abstract
2 The Connectionist Nature of Generative AI: Beyond the Black Box
4 Navigating the Copyright Labyrinth: Collective Input, Individual Output?
5 Generative AI as Crystallized Collective Knowledge
6 Towards Human-AI Synergy: A Pragmatic Path Forward
7 Conclusion - ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs / 2409.09586 / ISBN:https://doi.org/10.48550/arXiv.2409.09586 / Published by ArXiv / on (web) Publishing site
- Appendices
- Examining Human-AI Collaboration for Co-Writing Constructive Comments Online / 2411.03295 / ISBN:https://doi.org/10.48550/arXiv.2411.03295 / Published by ArXiv / on (web) Publishing site
- A Appendix
- Towards interactive evaluations for interaction harms in human-AI systems / 2405.10632 / ISBN:https://doi.org/10.48550/arXiv.2405.10632 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Towards better evaluations of interaction harms - AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias / 2407.19655 / ISBN:https://doi.org/10.48550/arXiv.2407.19655 / Published by ArXiv / on (web) Publishing site
- Abstract and Author Summary
Introduction
2 Fairness Concerns in Healthcare
3 Addressing and Mitigating Unfairness in AI
4 Research gaps and Future directions
5 Conclusion - A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods / 2501.13947 / ISBN:https://doi.org/10.48550/arXiv.2501.13947 / Published by ArXiv / on (web) Publishing site
- 2. Overview of LLMs
3. Challenges in implementing LLMs for real-world scenarios
5. Integrating LLMs with knowledge bases - An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI / 2501.15691 / ISBN:https://doi.org/10.48550/arXiv.2501.15691 / Published by ArXiv / on (web) Publishing site
- III. Research Methodology
IV. Results and Analysis
V. Discussion
VII. Conclusion and Future Work - Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
/ 2502.05151 / ISBN:https://doi.org/10.48550/arXiv.2502.05151 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
3 AI Support for Individual Topics and Tasks
Appendix - Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future / 2502.08650 / ISBN:https://doi.org/10.48550/arXiv.2502.08650 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Responsible Generative AI
3 Explainable AI
4 Best Practices for Responsible Generative AI and Existing Frameworks
5 Responsible AI Applications Across Domains
6 Discussion
7 Conclusion - >Publishing site
- Introduction to GenAI Evaluation
What is Being Evaluated?
Who Evaluates and How?
Other Considerations
How Long is the Evaluation Relevant?
Summary of Recommendations - Confirmation Bias in Generative AI Chatbots: Mechanisms, Risks, Mitigation Strategies, and Future Research Directions / 2504.09343 / ISBN:https://doi.org/10.48550/arXiv.2504.09343 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Conceptual Underpinnings of Confirmation Bias - Designing AI-Enabled Countermeasures to Cognitive Warfare / 2504.11486 / ISBN:https://doi.org/10.48550/arXiv.2504.11486 / Published by ArXiv / on (web) Publishing site
- Abstract
1.0 Introduction
2.0 Cognitive Warfare in Practice
5.0 Ethical Analysis
6.0 Human-Machine Team Composition - Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey / 2504.13979 / ISBN:https://doi.org/10.48550/arXiv.2504.13979 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Trustworthy AI Framework
4. RAI Ethics and principles from Industry perspective
5. AI Standards and Regulations
6. Applications of RAI
7. RAI in Technology
8. Ongoing research and industry projects
9. Challenges and Best practices of RAI
10. Conclusion - Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
/ 2504.15236 / ISBN:https://doi.org/10.48550/arXiv.2504.15236 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Methods
3 Results
5 Conclusion
Appendix - Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts / 2504.16139 / ISBN:https://doi.org/10.48550/arXiv.2504.16139 / Published by ArXiv / on (web) Publishing site
- II. The Importance of AI Standardization
IV. Global Regulatory Frameworks
VI. The Comparative Risk-Impact Assessment Framework - Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room / 2504.16148 / ISBN:https://doi.org/10.48550/arXiv.2504.16148 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. The paradigm shifts in AI for education: From expert systems to general intelligence
3. Challenges of current AI methods in education: The Elephant in the room
4. Hybrid human-AI methods for responsible AI for education - Approaches to Responsible Governance of GenAI in Organizations / 2504.17044 / ISBN:https://doi.org/10.48550/arXiv.2504.17044 / Published by ArXiv / on (web) Publishing site
- Abstract
I. Introduction
II. Related Work
III. Identified Concerns and Risks
IV. Solutions to Address Concerns
V. Implementation Plan: Toward Actionable GenAI Governance - Auditing the Ethical Logic of Generative AI Models / 2504.17544 / ISBN:https://doi.org/10.48550/arXiv.2504.17544 / Published by ArXiv / on (web) Publishing site
- Higher-Order and Critical Thinking
Auditing the Ethical Logic of Generative AI
Findings
Reasoning and Chain-of-Thought AI Models
Auditing the Reasoning Models
Appendix - AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How / 2504.18044 / ISBN:https://doi.org/10.48550/arXiv.2504.18044 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background
3 Methodology
4 Result
5 Discussion
Appendix - A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption / 2504.19179 / ISBN:https://doi.org/10.48550/arXiv.2504.19179 / Published by ArXiv / on (web) Publishing site
- 2. Fundamentals of Trustworthy AI
4. Design framework for medical AI systems
5. Tradeoffs between TAI principles and requirements
6. Challenges towards the practical adoption of the design framework in healthcare
7. Conclusions and outlook - The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach
/ 2504.19255 / ISBN:https://doi.org/10.48550/arXiv.2504.19255 / Published by ArXiv / on (web) Publishing site
- Abstract
Findings
Discussion - Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions / 2504.19264 / ISBN:https://doi.org/10.48550/arXiv.2504.19264 / Published by ArXiv / on (web) Publishing site
- V. Current AI Regulations
VII. Conclusion - Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination
/ 2504.19275 / ISBN:https://doi.org/10.48550/arXiv.2504.19275 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Literature Review
3. Theoretical Framework
4. Case Study Analysis
5. Discussion & Conclusion - Ethical Challenges of Using Artificial Intelligence in Judiciary / 2504.19284 / ISBN:https://doi.org/10.48550/arXiv.2504.19284 / Published by ArXiv / on (web) Publishing site
- Abstract
III. Ethical Challenges of Using AI in Judiciary
IV. Recommendations to Address the Ethical Challenges of Using AI in Judiciary
V. Conclusion - Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room / 2504.16148 / ISBN:https://doi.org/10.48550/arXiv.2504.16148 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Theoretical Foundations of AI Awareness
3 Evaluating AI Awareness in LLMs
4 AI Awareness and AI Capabilities - AI Awareness / 2504.20084 / ISBN:https://doi.org/10.48550/arXiv.2504.20084 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Theoretical Foundations of AI Awareness
3 Evaluating AI Awareness in LLMs
4 AI Awareness and AI Capabilities - Exploring AI-powered Digital Innovations from A Transnational Governance Perspective: Implications for Market Acceptance and Digital Accountability Accountability / 2504.20215 / ISBN:https://doi.org/10.48550/arXiv.2504.20215 / Published by ArXiv / on (web) Publishing site
- 1.0 Introduction
2.0 Motivations of Developing and Applying AI-powered Digital Innovations
4.0 Conclusion - TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models / 2504.20605 / ISBN:https://doi.org/10.48550/arXiv.2504.20605 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Prompt design and dataset generation
3 LLM Evaluation and Comparison with Related Work
Appendix - Federated learning, ethics, and the double black box problem in medical AI
/ 2504.20656 / ISBN:https://doi.org/10.48550/arXiv.2504.20656 / Published by ArXiv / on (web) Publishing site
- 2 What is federated learning?
5 The double black box problem - Generative AI in Financial Institution: A Global Survey of Opportunities, Threats, and Regulation / 2504.21574 / ISBN:https://doi.org/10.48550/arXiv.2504.21574 / Published by ArXiv / on (web) Publishing site
- 5. Ethical Concerns and Governance
6. Regulatory Landscape
7. Recommendations for Secure AI Adoption
8. Conclusion - From Texts to Shields: Convergence of Large Language Models and Cybersecurity / 2505.00841 / ISBN:https://doi.org/10.48550/arXiv.2505.00841 / Published by ArXiv / on (web) Publishing site
- 2 LLM Applications in Network Security
3 LLM Agent and Applications
4 Socio-Technical Aspects of LLM and Security
5 LLM Interpretability, Safety, and Security
6 Conclusion
Appendices - LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models / 2505.00853 / ISBN:https://doi.org/10.48550/arXiv.2505.00853 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
3 Customizing Moral Evaluation for LLMs
4 Proposed Methodology for Testing LLM Moral Reasoning
5 Experimental Results - Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration / 2505.01514 / ISBN:https://doi.org/10.48550/arXiv.2505.01514 / Published by ArXiv / on (web) Publishing site
- Abstract
IV. The Role of AI in Modern IVR Systems
VI. Ethical AI Integration: A Strategic Imperative
VII. Challenges and Mitigation Approaches - Emotions in the Loop: A Survey of Affective Computing for Emotional Support / 2505.01542 / ISBN:https://doi.org/10.48550/arXiv.2505.01542 / Published by ArXiv / on (web) Publishing site
- I. Introduction
II. Background
IV. Applications and Approaches
V. Technological Strengths
VI. Datasets for Emotion Management and Sentiment Analysis
VII. Evaluation Methodologies
VIII. Challenges and Weaknesses - Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs / 2505.02009 / ISBN:https://doi.org/10.48550/arXiv.2505.02009 / Published by ArXiv / on (web) Publishing site
- 3 Three-Dimensional Safety Taxonomy for
LLM Risk Mitigation
4 Topical and Toxic Prompt (TTP)
5 HarmFormer
6 Results - Ethical AI in the Healthcare Sector: Investigating Key Drivers of Adoption through the Multi-Dimensional Ethical AI Adoption Model (MEAAM) / 2505.02062 / ISBN:https://doi.org/10.9734/ajmah/2025/v23i51228 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2. Literature Review and Theoretical Mechanism
3. Research Methods
4. Results and Discussion
Appendix - AI Governance in the GCC States: A Comparative Analysis of National AI Strategies / 2505.02174 / ISBN:https://doi.org/10.1613/jair.1.17619 / Published by ArXiv / on (web) Publishing site
- 2. AI Governance: From Principles to Practice
3. Methodology
4. Findings
5. Discussion
6. Conclusion - Navigating Privacy and Trust: AI Assistants as Social Support for Older Adults / 2505.02975 / ISBN:https://doi.org/10.48550/arXiv.2505.02975 / Published by ArXiv / on (web) Publishing site
- 2 Research Background
- GenAI in Entrepreneurship: a systematic review of generative artificial intelligence in entrepreneurship research: current issues and future directions / 2505.05523 / ISBN:https://doi.org/10.48550/arXiv.2505.05523 / Published by ArXiv / on (web) Publishing site
- 2. Background
3. Methodology
4. Findings
5. Ethics, Opportunities and Future Directions - Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline / 2501.18493 / ISBN:https://doi.org/10.48550/arXiv.2501.18493 / Published by ArXiv / on (web) Publishing site
- Appendices
- AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques / 2505.08202 / ISBN:https://doi.org/10.48550/arXiv.2505.08202 / Published by ArXiv / on (web) Publishing site
- II Domain-Specific Literature Review
V Privacy, Security and Deployment Challenges
VI Future Prospects and Conclusion - Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach / 2505.09576 / ISBN:https://doi.org/10.48550/arXiv.2505.09576 / Published by ArXiv / on (web) Publishing site
- II Background
- WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models / 2505.09595 / ISBN:https://doi.org/10.48550/arXiv.2505.09595 / Published by ArXiv / on (web) Publishing site
- 2 Background
3 Methodology and System Design
4 Benchmarking and Intervention Strategies
5 Results - Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data / 2505.09974 / ISBN:https://doi.org/10.48550/arXiv.2505.09974 / Published by ArXiv / on (web) Publishing site
- 3 Methodology
4 Results
5 Further Discussions - AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages / 2505.10300 / ISBN:https://doi.org/10.48550/arXiv.2505.10300 / Published by ArXiv / on (web) Publishing site
- 3 Formative Study and Design Goals
4 AI LEGO
5 Evaluation User Study
6 Findings
Appendices - Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility / 2505.10426 / ISBN:https://doi.org/10.48550/arXiv.2505.10426 / Published by ArXiv / on (web) Publishing site
- Computational Reductions for HITL
HITL Failure Modes
Legal-Moral Responsibility - Let's have a chat with the EU AI Act / 2505.11946 / ISBN:https://doi.org/10.48550/arXiv.2505.11946 / Published by ArXiv / on (web) Publishing site
- II The Regulatory Landscape
III System Design and Architecture - Sentience Quest: Towards Embodied, Emotionally Adaptive, Self-Evolving, Ethically Aligned Artificial General Intelligence / 2505.12229 / ISBN:https://doi.org/10.48550/arXiv.2505.12229 / Published by ArXiv / on (web) Publishing site
- 2 Background and Justification
4 Preliminary Results and Evaluation - From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery / 2505.13259 / ISBN:https://doi.org/10.48550/arXiv.2505.13259 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Three Levels of Autonomy
3 Level 1. LLM as Tool (Table A1)
Appendices - Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks / 2505.13565 / ISBN:https://doi.org/10.48550/arXiv.2505.13565 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Preliminaries: Principles for Democracy and Trustworthy AI
3 Positive taxonomy: Positive impact of AI on democracy
4 Risk taxonomy: risks posed by AI to democracy
5 Trustworthy AI requirements for AI risk mitigation
6 Reflections, Contextualization, and Synthesis
7 Conclusion - Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art / 2505.14758 / ISBN:https://doi.org/10.48550/arXiv.2505.14758 / Published by ArXiv / on (web) Publishing site
- 2 Background
3 Methodology
4 Results
5 Discussion
Appendices - AI vs. Human Judgment of Content Moderation: LLM-as-a-Judge and Ethics-Based Response Refusals / 2505.15365 / ISBN:https://doi.org/10.48550/arXiv.2505.15365 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
4 Results
5 Discussion
6 Conclusion - Exploring Moral Exercises for Human Oversight of AI systems: Insights from Three Pilot Studies / 2505.15851 / ISBN:https://doi.org/10.48550/arXiv.2505.15851 / Published by ArXiv / on (web) Publishing site
- 2 Moral Exercises in the Context of Human Oversight
3 Pilot Studies - Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery / 2505.16477 / ISBN:https://doi.org/10.48550/arXiv.2505.16477 / Published by ArXiv / on (web) Publishing site
- Toward Large Language Models as Creative Engines for Fundamental
Science
Challenges and Opportunities
Conclusions - Cultural Value Alignment in Large Language Models: A Prompt-based Analysis of Schwartz Values in Gemini, ChatGPT, and DeepSeek / 2505.17112 / ISBN:https://doi.org/10.48550/arXiv.2505.17112 / Published by ArXiv / on (web) Publishing site
- Results
Discussion
Conclusion - A Toolkit for Compliance, a Toolkit for Justice: Drawing on Cross-sectoral Expertise to Develop a Pro-justice EU AI Act Toolkit / 2505.17165 / ISBN:https://doi.org/10.48550/arXiv.2505.17165 / Published by ArXiv / on (web) Publishing site
- 2 Background and Rationale
3 Process
4 Toolkit Design
5 Reflections, Insights, and Recommendations - SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use / 2505.17332 / ISBN:https://doi.org/10.48550/arXiv.2505.17332 / Published by ArXiv / on (web) Publishing site
- 2 Related Work
3 The SweEval Benchmark
4 Experiments
Appendix - TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation / 2505.17841 / ISBN:https://doi.org/10.48550/arXiv.2505.17841 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Trustworthy and Ethical Dataset Indicators (TEDI)
3 Analysis of Multimodal Datasets
4 Impact of Data Sourcing on Trustworthy and Ethical Indicators
Appendix - Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods / 2505.17870 / ISBN:https://doi.org/10.48550/arXiv.2505.17870 / Published by ArXiv / on (web) Publishing site
- 2 Conceptual Framework: Model Immunization via Quarantined Falsehoods
3 Discussion and Limitations
Appendix - AI Literacy for Legal AI Systems: A practical approach / 2505.18006 / ISBN:https://doi.org/10.48550/arXiv.2505.18006 / Published by ArXiv / on (web) Publishing site
- 2. Legal AI systems: A definition
3. Concept of the AI Literacy in the AI Act
4. Legal AI Systems Benefit Assessment
5. Legal AI Systems Risk Assessment
6. Conclusion and Discussion
Annex - Opacity as a Feature, Not a Flaw: The LoBOX Governance Ethic for Role-Sensitive Explainability and Institutional Trust in AI
/ 2505.20304 / ISBN:https://doi.org/10.48550/arXiv.2505.20304 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Opacity as a Frontier of Ethical Design
3 Operationalizing Ethical Governance: The Three-Stage LoBOX Framework Pathway for Managing Opacity
4 Application scenarios
5 Global Adaptability and Governance and Contextual Trust
6 Conclusion: Technical Implications and Future Pathways - Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI / 2505.20305 / ISBN:https://doi.org/10.48550/arXiv.2505.20305 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Beyond Transparency: Why Explainability Is Essential for LLMs?
3 What Is XAI in the Context of LLMs?
4 How Can We Measure XAI in LLMs?
5 Audience-Centered XAI role in LLMs
6 Mechanistic Interpretability: From Circuits to Cognitive Tracing in LLMs
7 Designing Actionable and Governable XAI: Challenges and Research Frontiers
8 Conclusion and Reflections - Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions / 2505.20692 / ISBN:https://doi.org/10.48550/arXiv.2505.20692 / Published by ArXiv / on (web) Publishing site
- 2 Background and Related Work
4 Methods
5 Results
7 Conclusion
Appendix - Simulating Ethics: Using LLM Debate Panels to Model Deliberation on Medical Dilemmas / 2505.21112 / ISBN:https://doi.org/10.48550/arXiv.2505.21112 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
2 Related Work
3 Methodology
4. Results
5. Discussion
Appendix - Are Language Models Consequentialist or Deontological Moral Reasoners? / 2505.21479 / ISBN:https://doi.org/10.48550/arXiv.2505.21479 / Published by ArXiv / on (web) Publishing site
- Abstract
4 Methodology
5 Experimental Findings
6 Conclusion
Appendix - Toward a Cultural Co-Genesis of AI Ethics / 2505.21542 / ISBN:https://doi.org/10.48550/arXiv.2505.21542 / Published by ArXiv / on (web) Publishing site
- Empirical Case – Convergence in Global AI Ethics Principles
- Human-Centered Human-AI Collaboration (HCHAC) / 2505.22477 / ISBN:https://doi.org/10.48550/arXiv.2505.22477 / Published by ArXiv / on (web) Publishing site
- 2. An Overview of Human-AI Collaboration
3. Human Factor Research Methods of HAC
4. Current Research Agenda of HAC
5. Human-Centered Human-AI Collaboration
6. Application Analysis: Taking Autonomous Driving as an Example
7. Conclusion - Toward Effective AI Governance: A Review of Principles / 2505.23417 / ISBN:https://doi.org/10.48550/arXiv.2505.23417 / Published by ArXiv / on (web) Publishing site
- I Introduction
II Methodology
III Results
V Threats to Validity - SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents / 2505.23559 / ISBN:https://doi.org/10.48550/arXiv.2505.23559 / Published by ArXiv / on (web) Publishing site
- 3 Method
5 Experiment
Appendix - From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems / 2505.23710 / ISBN:https://doi.org/10.48550/arXiv.2505.23710 / Published by ArXiv / on (web) Publishing site
- I Autonomous Telecom Ecosystem: Roadmap and Vision
II Key Enablers of Self-Evolving Communication Systems
III Discussion - Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side / 2505.23733 / ISBN:https://doi.org/10.48550/arXiv.2505.23733 / Published by ArXiv / on (web) Publishing site
- 4 Method
5 Data Analysis and Results
6 Discussion
Appendix - Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking / 2505.23930 / ISBN:https://doi.org/10.48550/arXiv.2505.23930 / Published by ArXiv / on (web) Publishing site
- Results
Discussion - Locating Risk: Task Designers and the Challenge of Risk Disclosure in RAI Content Work / 2505.24246 / ISBN:https://doi.org/10.48550/arXiv.2505.24246 / Published by ArXiv / on (web) Publishing site
- 3 Methods
4 Findings
5 Discussion - Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products / 2506.00080 / ISBN:https://doi.org/10.48550/arXiv.2506.00080 / Published by ArXiv / on (web) Publishing site
- 1. Introduction
3. Methodology
4. Results
5. Discussion
Appendix - Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use / 2506.00094 / ISBN:https://doi.org/10.48550/arXiv.2506.00094 / Published by ArXiv / on (web) Publishing site
- 2. State of the Art
3. Methodological Approach
4. Findings - Where's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
/ 2506.00229 / ISBN:https://doi.org/10.48550/arXiv.2506.00229 / Published by ArXiv / on (web) Publishing site
- The Case for Ethical AI Engagement
Theoretical Foundations
Implementation - Ethical AI: Towards Defining a Collective Evaluation Framework / 2506.00233 / ISBN:https://doi.org/10.48550/arXiv.2506.00233 / Published by ArXiv / on (web) Publishing site
- Abstract
IV Methodology and Discussion
V Conclusion and Recommendation - Wide Reflective Equilibrium in LLM Alignment: Bridging Moral Epistemology and AI Safety
/ 2506.00415 / ISBN:https://doi.org/10.48550/arXiv.2506.00415 / Published by ArXiv / on (web) Publishing site
- 2. Understanding Wide Reflective Equilibrium (MWRE)
3. The Inadequacy of Foundationalism and Simplistic Hybrids for LLM Alignment
5. Wide Reflective Equilibrium as the Descriptive Key to LLM Alignment
6. Normativity and the Limits of the Analogy
7. Operationalizing MWRE for LLM Alignment: Pathways, Pitfalls, and Technical Mechanisms
8. Future Research Directions and Broader Implications
9. Conclusion: Towards More Justified and Coherent AI Alignment - DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models / 2506.01257 / ISBN:https://doi.org/10.48550/arXiv.2506.01257 / Published by ArXiv / on (web) Publishing site
- Abstract
Introduction
Training and Architecture
Comparisons with Other Models
Clinical Applications
Strenghts and Limitations of DeepSeek-R1
Ethical Considerations
Future Directions
Discussion
Conclusion
Appendix - Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment / 2506.02046 / ISBN:https://doi.org/10.48550/arXiv.2506.02046 / Published by ArXiv / on (web) Publishing site
- 2. Theoretical Foundations
3. The Eight Elements of Static Analysis: Theoretical Justification
4. Theoretical Framework for Vulnerability Scoring
5. Implications and Future Directions
6. Conclusion - Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generation / 2506.02992 / ISBN:https://doi.org/10.48550/arXiv.2506.02992 / Published by ArXiv / on (web) Publishing site
- Abstract
2 Related Work
4 Experimental Design
5 Results and Analysis
7 Limitations and Future Work
Appendix - HADA: Human-AI Agent Decision Alignment Architecture / 2506.04253 / ISBN:https://doi.org/10.48550/arXiv.2506.04253 / Published by ArXiv / on (web) Publishing site
- Abstract
1 Introduction
2 Related Work: Emerging LLM Software Agents
3 Design & Development
5 Evaluation
6 Communication - Explainability in Context: A Multilevel Framework Aligning AI Explanations with Stakeholder with LLMs / 2506.05887 / ISBN:https://doi.org/10.48550/arXiv.2506.05887 / Published by ArXiv / on (web) Publishing site
- 1 Introduction
2 Background on Explainable AI and Audience-Centered Explanations
3 A Multilevel Framework for Audience-Aware Explainability
4 Case Studies: Applying the Multilevel Framework with LLMs
5 Conclusions - Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era / 2506.08258 / ISBN:https://doi.org/10.48550/arXiv.2506.08258 / Published by ArXiv / on (web) Publishing site
- 2. Methods
3. Results
4. Discussion
Appendix - On the Ethics of Using LLMs for Offensive Security / 2506.08693 / ISBN:https://doi.org/10.48550/arXiv.2506.08693 / Published by ArXiv / on (web) Publishing site
- 3 Methodology
4 Results
5 Discussion - Whole-Person Education for AI Engineers / 2506.09185 / ISBN:https://doi.org/10.48550/arXiv.2506.09185 / Published by ArXiv / on (web) Publishing site
- II Literature Review
IV Results and Discussion
VII Appendix: Extracts from Participant Reflections