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Bibliography items where occurs: 563
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 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
Abstract
CCS Concept
1 Introduction
2 Background
3 Methodology
4 Findings
5 Discussion
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
2 Background
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
Abstract
4 Results
5 Discussion


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
5 Evaluation of Ethical Principle Implementations


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
1. Problems with 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
1 Introduction
5 Discussion


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
CCS Concepts
1 Introduction
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
CCS Concepts
1 Introduction
2 Related Work
3 The ESR Process
4 Deployment and Evaluation
5 Discussion
A Appendix: Interview Protocol


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
2 The Need forEthical AI in Finance
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
1 Introduction
2 Background
4 Proposed competency framework for responsible AI practitioners
5 Discussion
Appendix A supplementary material


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
I. Introduction


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
1. Introductioon
3. International and National Governance
4. Corporate Self-Governance
6. Psychology of Trust
7. Propensity to Trust
8. Ethics and Trust Lenses in the Multilevel Framework
10. Conclusion


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
Abstract
1. Introduction


The Ethics of AI Value Chains / 2307.16787 / ISBN:https://doi.org/10.48550/arXiv.2307.16787 / Published by ArXiv / on (web) Publishing site
2. Theory
4. Ethical Implications of AI Value Chains
5. Future Directions for Research, Practice, & Policy


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
Abstract
Introduction
Literature Review
Results
Conclusion


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
3 Enhancing Protection for the General Public and Vulnerable Groups
4 Conclusion


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
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
Image-related


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
Abstract
1 Introduction
2 Background


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
3 Taxonomy of ethical principles
4 Previous operationalisation of 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
Moral Injury
AI Workplace Health and Safety Framework


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


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
2 Large Language Models
5 Falsification and Evaluation
7 Runtime Monitor


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
4 Conclusions


AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / ISBN:https://doi.org/10.48550/arXiv.2308.11424 / Published by ArXiv / on (web) Publishing site
Case study


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
5 Engaging Web-Based Programming with Game-Based Approaches
12 The Future Landscape: Creative AI Tools and Game-Based Methodologies in Education


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
Abstract
IV. Applied and technology implications for LLMs
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
Abstract
1 Introduction
3 Emerging dual-use risks and vulnerabilities in AI systems
4 Integrating red teaming, blue teaming, and ethics with violet teaming
5 Research directions in AI safety and violet teaming
6 A pathway for balanced AI innovation
7 Violet teaming to address dual-use risks of AI in biotechnology
8 Macrostrategy for responsible technology trajectories
9 The path forward
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
5 Conclusion


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
1 Introduction
2 Related Works
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
3 Benefits of AI use in the finance sector
4 Threaths & potential pitfalls
5 Challenges
6 Regulation of AI and regulating through AI


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


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
2. Related work
3. ChatGPT Training Process
5. Discussion


Pathway to Future Symbiotic Creativity / 2209.02388 / ISBN:https://doi.org/10.48550/arXiv.2209.02388 / Published by ArXiv / on (web) Publishing site
Part 5 Ethical AI and Machine Artist
Part 5 - 1 Authorship and Ownership of AI-generated Works of Artt
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
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
4 Experiments
Acknowledgements
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
Abstract
2 Related Work


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
I. Introduction and Motivation
III. Survey Approach & Taxonomy
IV. Attack Surfaces
V. Ethical & Legal Concerns
VI. Human-Robot Interaction (HRI) Security Studies


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
1 The Top-Down Approach Alone Might Be Insufficient
3 Proposing a Hybrid Approach


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
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
Abstract
Introduction
Nation-State Advances in AI-driven Information Operations
Integrating Computational Social Science, Computational Ethics, Systems Engineering, and AI Ethics in LLMdriven Operations


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
Abstract
1 Introduction
3 Analysis and Findings
4 Discussion
B Pre-class Questionnaire (Verbatim)
D Post-Activity Questionnaire (Verbatim)


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


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
2. What LLMs can do for healthcare? from fundamental tasks to advanced applications
4. Usage and data for healthcare LLM
5. Improving fairness, accountability, transparency, and ethics


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
Abstract
1 Introduction
2 STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models
4 Conclusion and Future Work


Regulation and NLP (RegNLP): Taming Large Language Models / 2310.05553 / ISBN:https://doi.org/10.48550/arXiv.2310.05553 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Regulation: A Short Introduction
3 LLMs: Risk and Uncertainty
4 Scientific Expertise, Social Media and Regulatory Capture
6 Conclusion
Limitations


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
6. Discussion
7. Future Research Direction


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
Conclusion


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
Abstract
1. Introduction
2. The practice of multilateral negotiation and the mechanisms of compromises
3. The liberal-sovereigntist multiplicity
Notes
Annex 1. Text amendments and ambiguity


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
Utilitarian Ethics
Method


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
4. Technical Risks


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
1. Introduction
5. Cybersecurity Risks
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
3. Return on Investment (ROI)
4. A Holistic Framework


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 in AI
Different Types of 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
2 Definitions of Terms
4 Methodology


The Glamorisation of Unpaid Labour: AI and its Influencers / 2308.02399 / ISBN:https://doi.org/10.48550/arXiv.2308.02399 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Harms of Influencer Marketing


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
Authors
Abstract
1. Introduction
5. AI-powered assessment and evaluation
8. Case studies: AI and blockchain in education


Toward an Ethics of AI Belief / 2304.14577 / ISBN:https://doi.org/10.48550/arXiv.2304.14577 / Published by ArXiv / on (web) Publishing site
1. Introduction
3. Proposed Novel Topics in an Ethics of AI Belief
5. Conclusion


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
5 Ethical guidelines for medical AI model deployment
6 Discussion
7 Conclusion and Future Directions


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
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
Abstract
INTRODUCTION
METHODS
FUTURE-AI GUIDELINE
COMPETING INTERESTS


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
Abstract
1 Introduction
2 Agent Design
3 Agent Benchmark
4 Agent Performance
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
4 Reinforcement Learning with Good-for-Humanity Preference Models
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
Abstract
1 Introduction
2 Related Work
3 Method
5 Discussion


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
5 System Design for AI Alignment
6 System Insights from the Brain
7 Pursuit of the “Universal AGI Architecture” versus “Systematic AGI”


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
1 Introduction
3 Arrow-Sen Impossibility Theorems for RLHF


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
4 Equilibrium Alignment: A Prospective Paradigm for Ethical Value Alignmen


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
5 Why Openness in AI for Science


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
Pedagogical / Curricular Concerns Now and in the Future
Communication skills in cybersecurity and ethics


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
Abstract
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
V. Conclusion
Appendix B Placing Research Ethics for Human Participans in Historical Context


LLMs grasp morality in concept / 2311.02294 / ISBN:https://doi.org/10.48550/arXiv.2311.02294 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 A General Theory of Meaning
3 The Meaning Model
4 The Moral Model
5 Conclusion
A Supplementary Material


Educating for AI Cybersecurity Work and Research: Ethics, Systems Thinking, and Communication Requirements / 2311.04326 / ISBN:https://doi.org/10.48550/arXiv.2311.04326 / Published by ArXiv / on (web) Publishing site
Introduction
Literature Review
Conclusions


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
3 Measuring Fairness Metrics
4 Deontological AI Alignment
5 Aligning with Deontological Principles: Use Cases


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
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
11 Conclusion


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
III. Impacts of 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
1 Introduction
3 Crafting an Ethical Dataset
5 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
3 ReFLeCT: Robust, Fair, and Safe LLM Construction Test Suite


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
V. Ethics


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
3. Chatbot approaches overview: Taxonomy of existing methods
4. ChatGPT
5. Applications
6. Open chanllenges


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
Abstract
2 Background
5 Discussion


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
Executive Summary
Preface
Why Liability Law?
Appendix A - What is an Algorithmic Harm? And a Bibliography
Appendix B – Common AI Harms as Described by EPIC10
Appendix C - List of General Harms Created by Digital Products Provided by Claude.AI


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
1 Introduction
3 Related Work and Discussion


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
1 Introduction
3 Methods
5 Discussion and Recommendations


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
A Overview of AIIA Instruments
B Study Materials


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
Abstract
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
Abstract
I. Introduction
II. Education and LLMS
VI. Challenges and future directions


The Rise of Creative Machines: Exploring the Impact of Generative AI / 2311.13262 / ISBN:https://doi.org/10.48550/arXiv.2311.13262 / Published by ArXiv / on (web) Publishing site
Abstract
II. Extent and impact of generative AI
VI. Conclusion


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
1 Introduction
3 Methodology


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
Introduction
Overview of Societal Biases in GAI Models
Analytical Framework
Discussion
Conclusion


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
5. Ethical AI design principles and guidelines
6. The role of AI in decision-making: ethical implications and potential consequences
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.
10. Conclusion


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
1. Introduction
3. Results


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
III. US Copyright law


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
Abstract
1 Introduction
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
I. Introduction
II. Background
III. The rise of large AI models
IV. Societal implications
VI. Cross-platform strategies
VII. Ethical considerations


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
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
Abstract
Introduction


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
1 Introduction
3 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


Intelligence Primer / 2008.07324 / ISBN:https://doi.org/10.48550/arXiv.2008.07324 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Human intelligence
3 Reasoning
8 Consciousness
11 Control of intelligence
15 Final thoughts


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
1 Introduction
2 Related work


Ethical Considerations Towards Protestware / 2306.10019 / ISBN:https://doi.org/10.48550/arXiv.2306.10019 / Published by ArXiv / on (web) Publishing site
Abstract
II. Background
III. Ethics: a primer
IV. Guidelines for promoting ethical responsibility


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
2 Risks of Misuse for Artificial Intelligence in Science
3 Control the Risks of AI Models in Science


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
Abstract
...
Data Collection
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
Literature
The AI Assessment Scale


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
The concept of multiculturalism and its importance
Artificial intelligence – concept and ethical background
Recommendations


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
Abstract
I. Introduction
II. Background and motivation
IV. Results


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
4 Results
A Extended Survey 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
5 Conclusion


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


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


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
2. Foundations of AI-driven threat intelligence
4. State-of-the-art AI techniques in autonomous threat hunting
5. Challenges in autonomous threat hunting


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
Abstract
1. Introduction
3. LLMs in clinical and counseling psychology
5. LLMs in social and cultural psychology
6. LLMs as research tools in psychology
7. Challenges and future directions
8. Conclusion


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
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
II. Related work


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
Abstract
III. Methods
IV. Results
V. Discussion and suggestions


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
1 Introduction
I Understanding bias - 2 Bias and moral framework in AI-based decision making
4 Fairness metrics landscape in machine learning
II Mitigating bias - 5 Fairness mitigation
III Accounting for bias - 7 Addressing fairness in the banking sector
9 Towards fairness through time


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
1 Introduction
2 Background
3 Method
5 Discussion
6 Conclusion


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
Abstract
4 Framework for FAIR Data Principles Integration in LLM Development


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


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
2 Related work
4 RAI tool evaluation practices
5 Towards evaluation of RAI tool effectiveness
A List of RAI tools, with their primary publication


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
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
3 Beyond technical dimensions
4 Sense of engagement and responsibility


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


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
4. Discussion


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
2 Establishing the novel aspect of AI as a crossover technology
3 Moral and ethical obligations when developing 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
4 Results


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


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
2. Background
4. Proposed framework


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
1 Introduction
2 Background
3 Review Methodology
4 Challenges, Threats and Limitations
5 Findings
6 Discussion and Recommendations
A List of Included Studies


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
Introduction
Discussion


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
3. AIcon2abs Instructional Unit


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
Abstract
1 Introduction
3 Awareness in LLMs
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
3 Results
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
2 Emerging Management-based AI Regulation


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
3 Paradigm Shifts and New Trends
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
I. Introduction
II. Background and Related Work
V. Processual Elements
VI. Human Dynamics
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
3 The AIGC Copyright Dilemma: A What-if Analysis


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
Abstract
1. Introduction
2. Emergence of Free-Formed AI Collectives
3. Enhanced Performance of Free-Formed AI Collectives
4. Robustness of Free-Formed AI Collectives Against Risks
5. Open Challenges for Free-Formed AI Collectives
6. Conclusion


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
1 Introduction
2 Related Work
3 Model of Civilization Evolution
6 Results and Evaluation
7 Conclusion


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
2 The EU AI Act
5 There is no community without common language and communication
6 Conclusion: Navigating the future of AI and HCI within the EU AI Act framework


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
Abstract
1 Introduction
3 Materials and Methods


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
III. Ethical Considerations and Bias in AI-Driven Software Development for Autonomous Vehicles


Envisioning the Applications and Implications of Generative AI for News Media / 2402.18835 / ISBN:https://doi.org/10.48550/arXiv.2402.18835 / Published by ArXiv / on (web) Publishing site
2 The Suitability of Generative AI for Newsroom Tasks


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
Abstract
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
Abstract
1 Motivation & Background
3 Proposal & SIG’S Goal at CHI 2024


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
Part 5. Interpretability of generative models


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
III. The AI-Enhanced CTI Processing Pipeline
V. Conclusions & Future Research


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
3 Effective Human-AI Joint Systems
4 Safe, Secure and Trustworthy AI
5 Applications


AGI Artificial General Intelligence for Education / 2304.12479 / ISBN:https://doi.org/10.48550/arXiv.2304.12479 / Published by ArXiv / on (web) Publishing site
Abstract
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
Abstract
1. Introduction
2. Related Work
4. Methods
5. Results
6. Discussion and Conclusion


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
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
Abstract
1 Introduction
2 Related Work
5 Representational Fairness


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


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
Abstract
1 Introduction
2 Attacking GenAI
3 Cyber Offense
4 Cyber Defence
5 Implications of Generative AI in Social, Legal, and Ethical Domains
6 Discussion


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
3. Findings


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
Key AI Ethics Issues
Key Gaps


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
Introduction
Methodology
Data


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


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
3 Conceptualizing Fairness and Bias in ML
5 Ways to mitigate bias and promote Fairness


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


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
1 Introduction
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
5. Human Oversight
6. Large Language Models (LLMs) - Introduction


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
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
7 Model Evaluation and Benchmarking


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


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


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
Introduction
Polarised Responses
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


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
Abstract
1 Introduction
2 The Need for Governance of AI
4 Public Opinion on AI Governance
5 Research Questions
7 Discussion


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
2 Related Work
3 Generative Ghosts: A Design Space
4 Benefits and Risks of Generative Ghost
5 Discussion


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
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
Abstract
Background
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
1 Introduction
2 Background and Related Work
3 Methodology
4 Evaluation
5 Conclusion
A Dataset Filtering Prompts


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
Abstract
II. Literature Review
V. Conclusion


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
1 Introduction
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
9 The Enduring Irresponsibility of AI Rights Talk
Notes


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
Abstract
1 Introduction
2 Background & Related Work
3 Scoping Review of Design Patterns, Affordances, and Harms in AI Interfaces
4 DECAI: Design-Enhanced Control of AI Systems
5 Case Studies


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
Abstract
3 A Geo-Political AI Risk Taxonomy
4 European Union Artificial Intelligence Act
5 Conclusion


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
1 Introduction
5 Limitations


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
3 LLM Infrastructure
4 LLM Lifecycle


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
2 Qualifying and Quantifying Emotions
3 Case Study #1: Linguistic Features of Emotion


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
2 Disentangling Replicability of Model Performance Claiim and Replicability of Social Claim
3 How Claim Replicability Helps Bridge the Responsiblity Gap
4 Claim Replicability's Practical Implication
5 Concluding Remarks


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
I. Introduction
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
2 Mechanistic Agency: A Common View in AI Practice
3 Volitional Agency: an Alternative Approach
4 Alternatives to AI as Agent


AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance / 2404.14660 / ISBN:https://doi.org/10.48550/arXiv.2404.14660 / Published by ArXiv / on (web) Publishing site
1 Technical assessments require an AI expert to complete — and we don’t have enough experts


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
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
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
6 Limitations and Future Research
7 Conclusion


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
Abstract
1 Technocriticism and Key Actors in the Age of AI
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
5 Law
6 Ethics


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
V. Discussion and Conclusions
Authors


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
5 Governance and Organization
7 Conclusion


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
1. Introduction
2. Methodology
3. A Spectrum of Scenarios of Open Data for Generative AI
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
1 Introduction
2 Theoretical Framework
4 Results


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
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
Abstract
2 Related Work
5 Evaluation of the 22 Responsible AI Guidelines
6 Discussion


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
Abstract
3 Methods


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
Abstract
Introduction
Evaluating a system as a social actor
Social-interactional harms
Design implications for LLM agents
Informing existing HCI approaches
Conclusion


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
Abstract
1 Introduction
2 Between Human Intelligence and Technology: AGI’s Dual Value-Laden Pedigrees
3 The Motley Choices of AGI Discourse
4 Towards Contextualized, Politically Legitimate, and Social Intelligence
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
Abstract
1 Introduction
2 Related Work
6 Taxonomy of Harms
7 Discussion
A Appendix


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
Abstract
1. Introduction
2. Background
3. What Are the Collective Decision Problems and their Alternatives in this Context?
4. Who Provides the Human Feedback?
5. What Is the Format of Human Feedback?
6. How Do We Incorporate Diverse Individual Feedback?
7. Which Traditional Social-Choice-Theoretic Concepts Are Most Relevant?
9. How Do We Navigate a Multiplicity of AIs?
10. Conclusion
Impact Statement
Acknowledgements


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


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
3 Quantitative Models of Emotions, Behaviors, and Ethics
Appendix D: Complex Emotions


Using ChatGPT for Thematic Analysis / 2405.08828 / ISBN:https://doi.org/10.48550/arXiv.2405.08828 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 Pilot-testing: UN Policy Documents Thematic Analysis Supported by GPT


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
1. Introduction
2.MT Critical Errors
6. Conclusion


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
Abstract
1 Introduction
3 Motivations for Industry to Engage in Responsible AI Research
5 The Narrow Breadth of Industry’s Responsible AI Research
7 Discussion
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
3 The Audit Procedure
4 Conducting the Pilots


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
II. Threat Intelligence
IV. Network Security
VI. Awareness


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
Discussion
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
Abstract
4 Following the RRI, (Responsible research innovation) principles
5 Technology and society, a complex relationship
6 Technological mediation
7 Conclusion


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


Responsible AI for Earth Observation / 2405.20868 / ISBN:https://doi.org/10.48550/arXiv.2405.20868 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Mitigating (Unfair) Bias
4 Geo-Privacy and Privacy-preserving Measures
5 Maintaining Scientific Excellence, Open Data, and Guiding AI Usage Based on Ethical Principles in EO
6 AI&EO for Social Good
7 Responsible AI Integration in Business Innovation and Sustainability


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
Abstract
1 Introduction
3 Framework
4 Discussion
5 Final Remarks
A DVC Dataset: Domestic Violence Cases
B PAC Dataset: Parental Alienation Cases


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
Introduction
III. Impact of Alignment on LLMs’ Risk Preferences
V. Conclusions


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
Abstract
1 Introduction


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
2 Related Work
3 Benchmark and Method
Appendix


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
1 Introduction
2 Theories and Components of Deception
3 Reductionism & Previous Research in Deceptive AI
4 DAMAS: A MAS Framework for Deception Analysis


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
Abstract
1 Introduction
2 Theoretical Background
3 Methodology
4 Findings
5 Discussion
6 Conclusions and Recommendations
Appendix A: Interview questions


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?


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
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
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
2 Background and related work
3 Methodology
4 Results


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
II. Foundations and Integration of SI and LLM


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
III. Analysis
Aappendix A Societal 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
4. Prioritizing the Common Good Over Corporate Greed
5. Promoting Global Solidarity
6. Ensuring Sustainable AI Development
7. Addressing Bias and Enforcing Fairness


Conversational Agents as Catalysts for Critical Thinking: Challenging Design Fixation in Group Design / 2406.11125 / ISBN:https://doi.org/10.48550/arXiv.2406.11125 / Published by ArXiv / on (web) Publishing site
2 BEYOND RECOMMENDATIONS: ENHANCING CRITICAL THINKING WITH GENERATIVE AI


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
III. CASE STUDIES : APPLICATIONS OF LLM S IN PATIENT ENGAGEMENT


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
4 The Internal Tensions and Ethical Issues in RLxF


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


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


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
Abstract
1. Introduction
2. Artificial intelligence as Weberian rationalization
3. Bureaucratization, tax policy, and equality
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
2 Why 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
Abstract
2 Case study | AstraZeneca’s AI governance journey
5 Concluding remarks | Upfront investments vs. long-term benefits


Operationalising AI governance through ethics-based auditing: An industry case study / 2407.06232 / Published by ArXiv / on (web) Publishing site
2. The need to operationalise AI governance
3. AstraZeneca and AI governance
6. Lessons learned from AstraZeneca’s 2021 AI audit


Auditing of AI: Legal, Ethical and Technical Approaches / 2407.06235 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
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
6 Concluding remarks


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
D. Results for Claude 3


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
Table 2


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
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
Abstract
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
Abstract
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
I. Introduction
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
Authors Bios


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
Abstract
2 Background and Related Work


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
3 Methodology
6 Conclusion


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
4 Generative AI and Humans: Risks and Mitigation
5 Meta Analysis: Limits of the Analogy
7 Recommendations: Fixing Gen AI’s Value Alignment


Report on the Conference on Ethical and Responsible Design in the National AI Institutes: A Summary of Challenges / 2407.13926 / ISBN:https://doi.org/10.48550/arXiv.2407.13926 / Published by ArXiv / on (web) Publishing site
2. Ethics Frameworks
3. AI Institutes and Society


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
4 Assurance for General-Purpose AI
5 Assurance and Alignment for AGI
6 Summary and 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
II. Background


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
2 Technology Mediated Nudging
3 Examples of Biases
5 Principles for the Nudge Lifecycle


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
Abstract
1 Introduction
2 Theoretical Lens: Expanding Views on Algorithmic Risks and Harms
3 Methods: Snowball and Structured Search
4 Mapping Individual, Social, and Biospheric Impacts of Foundation Models
5 Discussion: Grappling with the Scale and Interconnectedness of Foundation Models
6 Conclusion
Impact Statement
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
2. American Privacy Rights Act of 2024


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
Abstract
Introduction
Expected impacts


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
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Findings
6 Discussion and Future Work
7 Conclusion
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
5. Deepfakes Detection Method on Realistic Scenarios


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
Abstract
1 Introduction
2 Background and Literature Review
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
2 Background and Related Work
3 Methodology
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
4 Large-Scale Surveys of AI in the Literature
A Known Limitations of Surveys
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
Abstract
2. Related Work
3. Proposed framework
6. 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
Abstract
III. A Guide for Data in LLM Research
Conclusion


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
8 Model Evaluation


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
3 Method
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
1 Introduction
2 The Numbers of the Future


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


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
Introduction
Obtaining Consent


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
2. Background and Related 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
Introduction
Related Work
Methods


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
3 Challenges
5 Conclusion and Future Directions
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
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
1. Introduction


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
I. Introduction
II. Related Work
III. Generative AI
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
5 Multimodal LLMs (MLLMs)


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
“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
4 Biases
5 Trustworthy and Responsible AI in Human-centric Applications
6 Open Challenges
7 Guidelines and Recommendations


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
Abstract
1. Introduction
2. The Experimentation Bottleneck
3. How GenAI Could Make a Difference
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
Abstract
Introduction
Mapping ethical challenges in complexity science
Limited research on ethics in complexity science
Practical considerations for ethical actions in complexity science
Conclusion
Funding statement


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
Background
Results


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
1 Introduction
2 Fairness Debt
4 Findings
5 Discussions


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
2 Prior Benchmarks
3 Data Details


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
Reflections from two workshop participants
Discussion and conclusion


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
6 Conclusion


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
Part I Modelling - Machine learning, computer vision and processing 1 Machine learning and computer vision for 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
1 Introduction
2 Related Work
7 Results
8 Discussion
9 Limitations
10 Ethical Considerations
C Verified Articles
E Used Prompts


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 a holistic and humanistic perspective
Argument from Authority: Ethics by committee
Argument by regulatory relevance
Argument for acknowledging complexity: the case for individual ethos, regulation is not enough
Argument by analogy: The case of sustainability
Summary and action areas
Notes


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
Abstract
The false binary: The caricature
The false binary: Ethics (the stereotype
The false binary: Alignment’s discontents with Ethics
The complex reality: Where Ethics and Alignment (actually) differ
The complex reality: Complication: Good and bad ideas can be knotted together
Overcoming the dichotomy: Why should we?
Overcoming the dichotomy: How to build bridges


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
A Healthcare Data Modalities


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
Advanced Large Language Models Governance Using AI Ethics
Considerations for Advanced Large Language Models and Policy-Making


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
5 Future Directions


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


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
Abstract
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
IV. Findings and Resultant Themes
V. Discussion


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
4 Results


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
1 Related Work
2 Methodology
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
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
2 Related Work
3 ValueCompass Framework
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
2 Ethical Considerations in AI-Enabled Optimization
3 Case Studies in AI-Enabled Optimization
4 Lessons Learned from the Case Studies
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
Abstract
1 Introduction
2 Related Research
3 Method
5 Discussion
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
How Does AI See Humans in their Occupations?


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
1 Introduction
2 Background and Related Work
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
1 Introduction
3 XTRUST Construction
4 Experiments
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
II. Views on Intelligence
IV. Human-Level AI and Challenges/Perspectives


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
3. Methodology
4. Framework Development


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
3 Systematic Review Methodology
5 Aims & Objectives (RQ1)
7 Limitations & Considerations (RQ3)


Social Media Bot Policies: Evaluating Passive and Active Enforcement / 2409.18931 / ISBN:https://doi.org/10.48550/arXiv.2409.18931 / Published by ArXiv / on (web) Publishing site
Abstract
I. Introduction
II. Related Work
III. Current Platform Measures
IV. Methodology
V. Results
VI. Conclusion


Safety challenges of AI in medicine / 2409.18968 / ISBN:https://doi.org/10.48550/arXiv.2409.18968 / Published by ArXiv / on (web) Publishing site
3 Risks of using AI 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
2 Related Work
3 Methods
4 Results
5 Discussion


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


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
Abstract
II. Background
IV. Results
APPENDIX A SELECTED STUDIES
APPENDIX B DATA EXTRACTED FROM PRIMARY STUDIES
APPENDIX D ADDITIONAL INFORMATION


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
6 Related Work


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
Abstract
2 Related Works
3 AI Press System
6 Conclusion
Appendices


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
Appendix D A Note on Terminology


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
1. Introduction
2. Related Work
3. Method
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
Abstract
Introduction
The multiple levels of AI impact
The emerging social impacts of ChatGPT
Discussion
Conclusion


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
III. Method


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
I. Introduction
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
4 Survey Results


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
1 Introduction
3 Overview of cultural safety
4 Cultural safety dataset


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”
5 Mechanisms of Industry Influence in US AI Policy
6 Mitigating or Preventing Regulatory Capture in AI Policy
8 Conclusion


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
7 Conclusion and Limitations


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
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Analysis
5 Future Work and Discussion
6 Social Impact Statement
Appendices


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
1 Introduction
2 Background and Related Work
4 Study Setup
6 RQ2: Practices of AI Tools
8 RQ4: Expectation and Confrontation Towards The Future


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
I. Introduction
II. Background and Concepts
III. Jailbreak Attack Methods and Techniques


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


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
Conclusion


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
Understanding Social Spaces: An Anthropological Ethics Approach
Taxonomies of Harm Must be Vernacularized to be Operationalized
Overgeneral Taxonomies Can Compound Potential Harms
Vernacularization as a General AI Safety Operationalization Methodology
Conclusion


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
I. Introduction


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


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
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
Ethical Challenges Presented by AI
Opportunities for Ethical Leadership in the age of AI
Framework for Ethical Leadership
The Importance of Interdisciplinary Collaboration


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
II. Fundamentals of Diffusion Models and Detection Challenges
V. Datasets and Benchmarks


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
2 Related Work
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
6 Conclusions


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
2 Advanced Artificial Intelligence
3 Trends in advanced AI safety and trustworthiness standardization


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
1 Introduction
2 Background and Related Work
4 Study Design & Methodology


Ethical Statistical Practice and Ethical AI / 2410.22475 / ISBN:https://doi.org/10.48550/arXiv.2410.22475 / Published by ArXiv / on (web) Publishing site
Abstract


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
Theoretical Framework
Methodology
Discussion


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
Abstract
1 Introduction
2 What is scraping?
3 Research Considerations
4 Recommendations
6 Discussion
7 Conclusions
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
II. Background and Theoretical Foundations of AI and Deep Learning
III. Literature Review: Current Applications of AI and Deep Learning in Business
IV. Challenges and Ethical Considerations in AI Adoption 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
1 Introduction
2 Literature Review
3 Methodology
4 CaseStudies and Results
5 Discussion
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
Abstract
Introduction
Integrating Classical Validation Theory and Responsible AI
Conclusion & Future Directions


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
Abstract
1 Introduction
2 Related Work
3 Methods
4 Findings
5 Discussion
6 Conclusion


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
Abstract
1. Introduction
2. AI chatbots in privacy and ethics research
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
2 Background and Related Work
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
6 Directions for future research



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
4 Legal Requirements: Decision-Centric
6 Discussion


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
III. From General to Medical-Specific 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
Abstract
1. Introduction
2. Clinical, Technical, and Ethical Concerns
3. Methods
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
Abstract
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
Materials and methods
Results
Discussion


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
2 Application Domains
5 Ethical Considerations


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
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
2 Why South Asia Needs This Now
3 Proposed LLM4Participatory Research Framework
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
Abstract
I. Introduction
II. Related Work
III. Research Method
IV. Results


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
9 Fairness


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
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
1. Introduction
2. Intrinsic Bias
3. Extrinsic Bias
4. Bias Evaluation
5. Bias Mitigation
6. Ethical Concerns and Legal Challenges
7. Conclusion


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
2 Related work


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
2 Background
3 Method
4 Results
5 Discussion
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


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
7 Long-Term Implications of Generative AI Integration
9 Future Work
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
1 Introduction
2 Harms in forecasting
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
6 Discussion: Benefits, Risks and Limitations
7 Related Work


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
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
Abstract
II. Literature Review
III. Research Model
IV. Method
V. Analysis and Results
VI. Conclusions


Artificial Intelligence Policy Framework for Institutions / 2412.02834 / ISBN:https://doi.org/10.48550/arXiv.2412.02834 / Published by ArXiv / on (web) Publishing site
III. Key Considerations for AI Policy


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
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
V. AI Text Detectors (AITD)


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
Abstract
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
Abstract
I Introduction
II AI Practice and Contextual Integrity
III AI Ethics and the notion of AI as uncharted moral territory
IV Integrative AI Ethics
V Conclusion


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
Abstract
I Introduction
II AI Practice and Contextual Integrity
III AI Ethics and the notion of AI as uncharted moral territory
IV Integrative AI Ethics
V Conclusion


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


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
3 Taxonomy on LLM for Political Science
4 Classical Political Science Functions and Modern Transformations
5 Technical Foundations for LLM Applications in Political Science


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
II. Method


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
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
1. Introduction
2. Digital Citizenship: from Individualised to Stereotyped Identities
3. Participation: Civic Engagement and Digital Platforms
4. Representation: Digital and AI Technologies in Modern Electoral Processes
5. Public Sphere and Political Advocacy
6. Conclusions


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
Abstract
1 Introduction
2 Preliminaries
3 Formulating the Problem
4 Designing Solution Methods
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
Methods
Establishing a framework for interactions in an autonomous digital city
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
1 Introduction
3 Intelligent Cinematography in Production


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
I. Putting Pragmatic AI in Context
II. Demystifying the Potential Impact on AI
III. Harnessing AI for the Public Good
Acknowledgements


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


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
Abstract
1 Introduction
2 Track: Robots against Bias
3 Track: Against Bias in Robots
4 Conclusion


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
1 Introduction
3 How are people using Claude.ai?
7 Related work
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
V. Discussion
Authors


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
I. Introduction
II. Friendly AI Definition
III. Theoretical Perspectives
V. Challenges and Suggestions


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
I. Introduction
III. Results
IV. Discussion


Ethics and Technical Aspects of Generative AI Models in Digital Content Creation / 2412.16389 / ISBN:https://doi.org/10.48550/arXiv.2412.16389 / Published by ArXiv / on (web) Publishing site
2 Literature Review
4 Results


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
1 Introduction
2 Taxonomy
3 Value Misalignment
4 Robustness to Attack
5 Misuse
7 Agent Safety
8 Interpretability for LLM Safety
9 Technology Roadmaps / Strategies to LLM Safety in Practice
10 Governance


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
Abstract
1 Introduction
3 The Psychology of Confiding and Self-Disclosure
4 Technological Philosophy and Ethics


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
3 Discussion
4 Methods


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
III. Qualitative Findings and Resultant Themes
V. Discussion and Synthesis


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
Abstract
1 Introduction
3 Preliminaries
4 Method
5 Experiments & Results
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
Abstract
I. Introduction
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


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
4. Conclusions


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
Abstract
1 Introduction
2 Related Work
3 Phase 1: Scoping Review
4 Phase 2: Focus Groups
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
1. Introduction
2. Learning Morality in Machines
3. Designing AI Agents based on Moral Principles
4. Evaluating Moral Learning Agents
5. Outlook & Implications
6. Conclusion
Definitions
Appendix A. Other Games Involving Morality


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
Abstract
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


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
9 Open Challenges and Future Work


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


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


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
3 Piloted in Humanities Courses


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
3- Content Creation and Personalization
4- Research on Market and Consumer Insights
6- Campaign Optimization and Management
7- Social Media and Community Engagement
9- Challenges and Opportunities
10- Case Studies and Real-world Applications
11- Discussion


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
III. Generative AI for IRB review
V. Discussion: Potential Benefits, Risks, and Replies
VI. Conclusion


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
Abstract
5 Discussion


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)
Ethical Issues in Context
A continuum of low- to high-stakes AI applications
Moving the Field Forward


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 1: Data and Model Factory


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
II.Background and Related Work
III. Methodology


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


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
7. Cautions & Reflections from the Field


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
1. Introduction
2. Background
3. Theoretical Framework
4. Methods


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
Conclusion


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
2 The Challenges of AI Ethics
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
Abstract
1. Introduction, purpose, methodology
3. What is acceleration ethics?
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


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
Jailbreak Evaluation Method


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
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
2 Related Work
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
V. Results
VI. Conclusions


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


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
2 Principles of Ethical AI


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
2. Related Work
4. Methodologies
5. Experimental Protocol
7. Discussions and Conclusions
Appendices


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
3 Large Language Model Safety


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
Related Work
Method
Results
Discussion
Future Work
Conclusion


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
Introduction


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
2 HHH Principle


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
Two–sided Algorithmic Markets
The Algorithmic Society: Governance and Emergent Norms
Conclusion


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


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
Introduction
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
Conclusion


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
3. AI's Impact on Bureaucratic Discretion and Accountability: A Conceptual Exploration


Multi-Agent Risks from Advanced AI / 2502.14143 / ISBN:https://doi.org/10.48550/arXiv.2502.14143 / Published by ArXiv / on (web) Publishing site
Executive Summary
1 Introduction
2 Failure Modes
3 Risk Factors
4 Implications


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


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
5 Policymakers


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
Abstract
2 Related Work
3 Research Context
5 Findings
6 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
1 Theme and Goals
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
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
Abstract
1 Introduction
2 Defining Pre-Mortem AI Clones and Generative Ghosts
3 Ethical Challenges of Pre-Mortem AI Clones
4 Legal and Societal Implications of Pre-Mortem AI Clones
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
5. Conclusion


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
2 Introduction
3 The Evolving Threat Landscape
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
2 Related Work
3 Methodology
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


Jailbreaking Generative AI: Empowering Novices to Conduct Phishing Attacks / 2503.01395 / ISBN:https://doi.org/10.48550/arXiv.2503.01395 / Published by ArXiv / on (web) Publishing site
Abstract
I. Introduction
II. Methodology for Launching the Phishing Attack


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
Abstract
1 Introduction
2 Background, History and Resources
3 Personality Computing Systems
4 Discussion and Conclusion


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
Abstract
1 Introduction
2 Background & Related Work
3 Conceptual Framework for AI Automatons


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
1 Introduction
2 Literature Review
4 Comparative Analysis and Evaluation of Effectiveness
5 Case Studies
6 Discussion


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
3 Applying Systems Thinking
4 Philosophical and Ethical Considerations for AI
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
2 Background
3 Classical Transportation Planning Functions and Modern Transformations


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)
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
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
Abstract
1 Introduction


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
4 Taxonomy


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
Referemces
Appendices


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
4 Arguments against Transparent CoT


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
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
Introduction
Literature Review
Step-Around Prompting: A Research Tool and Potential Threat
Discussion and Recommendations


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
Abstract
1 Introduction
3 Empirical Studies to Promote Team Performance
6 Concepts, Challenges, and Applications of Human-Machine Teaming
7 Conclusions & Future Work


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
4 Discussion


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
3. Ethics in 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
3 Standards and Guidelines
4 Proposed Methodology for AI Assessment


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
Introduction
Literature Review


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
Abstract
1 Introduction
2 Background and Related Work
3 Methodology
4 Results


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
1. Introduction
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


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
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
Abstract
3 Study Design
4 Results


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
2 Key Concepts and Definitions
3 Existing Scholarship 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
Abstract
2. Related Work
4. Taxonomy of AI Privacy and Ethical Incidents
5. Discussion
8. Acknowledgments
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
3 From Legal Frameworks to Technological Solutions


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
IV. Constitutional and Legal Challenges
VI. Principle-Based AI Regulatory Framework for Ethical and Innovative Growth


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
Introduction
Methodology
Findings
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
Ethical (CH2)
Human-Computer Interaction (HCI) (CH4)
Discussion


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
2. Approach 1: Back to the thick of it
3. Approach 2: Towards a Relational Understanding of Tasks
4. Discussion: Assessing Impact Using Approach 1 and 2


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
2. Artificial Intelligence
3. Materials and Methods
4. Results
5. Conclusion


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
Explore
Updating the R&D Agenda


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
1 Introduction
5 Generative AI as Crystallized Collective Knowledge


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


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
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
Abstract
1 Introduction
2 An overview of the generative AI evaluation landscape
5 Open challenges and ways forward for interactive evaluations


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
2 Fairness Concerns in Healthcare
4 Research gaps and Future directions


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
1. Introduction
3. Challenges in implementing LLMs for real-world scenarios


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
I. Introduction
II. Related Work
III. Research Methodology
V. Discussion
VI. Threats to Validity
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
Abstract
1 Introduction
3 AI Support for Individual Topics and Tasks
4 Ethical Concerns
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
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


>Publishing site
Case Studies
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
3. Confirmation Bias in Generative AI Chatbots
5. Risks and Ethical Implications
7. Future Research Directions


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
3.0 AI-Enabled Cognitive Warfare
4.0 Functional Analysis
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
Abstract
1. Introduction
2. Trustworthy AI Framework
5. AI Standards and Regulations
6. Applications of RAI
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
Abstract
1 Introduction
3 Results
4 Related Work
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
I. Introduction
IV. Global Regulatory Frameworks
V. Mapping of ISO Standards
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
Abstract
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
5. Conclusion
References


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
I. Introduction
III. Identified Concerns and Risks


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
Abstract
Higher-Order and Critical Thinking
Applied Ethics
Auditing the Ethical Logic of Generative AI
Seven Contemporary LLMs
Prompt Batteries for Assessing Ethical Reasoning
The Audit Model
Findings
Reasoning and Chain-of-Thought AI Models


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
Abstract
1 Introduction
2 Background
3 Methodology
4 Result
5 Discussion
6 Conclusion and Future Work
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
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
Implementing the Framework: Core Components and Assessment Protoco


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
I. Introduction
III. Legal Frameworks for Human Rights
V. Current AI Regulations
VI. Comparison of AI Regulations: US, Europe, China, and Singapore
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
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
IV. Recommendations to Address the Ethical Challenges of Using AI in Judiciary


The EU AI Act in Development Practice: A Pro-justice Approach / 2504.20075 / ISBN:https://doi.org/10.48550/arXiv.2504.20075 / Published by ArXiv / on (web) Publishing site
Abstract
1. Introduction
2. Background and Related Work
3. Applying our Pro-Justice Lens
4. A Pro-Justice Approach to the Act in Practice


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
Abstract
1 Introduction
2 Theoretical Foundations of AI Awareness
3 Evaluating AI Awareness in LLMs
4 AI Awareness and AI Capabilities
5 Risks and Challenges of AI Awareness
6 Conclusion


AI Awareness / 2504.20084 / ISBN:https://doi.org/10.48550/arXiv.2504.20084 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Theoretical Foundations of AI Awareness
3 Evaluating AI Awareness in LLMs
4 AI Awareness and AI Capabilities
5 Risks and Challenges of AI Awareness
6 Conclusion


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
Abstract
1.0 Introduction
2.0 Motivations of Developing and Applying AI-powered Digital Innovations
3.0 Proposed solutions: Enhancing Transnational Accountability for 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
5 Discussion and threats to validity
6 Conclusion


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
3 Federated learning in healthcare


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
3. Emerging Cybersecurity Threats to Financial Institution


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
1 Background and Scope
2 LLM Applications in Network Security
4 Socio-Technical Aspects of LLM and Security
6 Conclusion


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


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
1. Introduction
V. Cybersecurity and Compliance Framework
VI. Ethical AI Integration: A Strategic Imperative
VII. Challenges and Mitigation Approaches
VIII. Conclusion


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
IV. Applications and Approaches
VI. Datasets for Emotion Management and Sentiment Analysis
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
1 Introduction
2 Related Works
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
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
1. Introduction
2. AI Governance: From Principles to Practice
3. Methodology
4. Findings
5. Discussion


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
Abstract
1 Introduction
2 Research Background
3 Future Work


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
4. Findings
5. Ethics, Opportunities and Future Directions


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
7 Reflexivity


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
I Introduction
II Domain-Specific Literature Review
III Data Modalities and Generative AI Applications


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
Abstract
III Rhetorical Connections
IV Persuasive Procedures in Generative AI
V Conclusion and Future Work


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
1 Introduction
2 Background
3 Methodology and System Design
4 Benchmarking and Intervention Strategies


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
1 Introduction


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
Abstract
1 Introduction
3 Formative Study and Design Goals
4 AI LEGO
5 Evaluation User Study
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
Introduction
HITL Failure Modes
Conclusion and Suggestions


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
Abstract
2 Background and Justification
3 Our Proposed Model for Sentient AI
4 Preliminary Results and Evaluation
5 Future Work and Call to Action


Beyond Individual UX: Defining Group Experience(GX) as a New Paradigm for Group-centered AI / 2505.12780 / ISBN:https://doi.org/10.48550/arXiv.2505.12780 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 User Experience(UX)_ Group Experience(GX)!
3 Beyond Individuals: A New AI Paradigm for Groups
4 Conclusion


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
4 Level 2: LLM as Analyst (Table A2)


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
1 Introduction
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
4 Results
5 Discussion
6 Conclusion


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


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
1 Introduction
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


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
Abstract
Introduction
Methods
Discussion


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
Abstract
2 Background and Rationale
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
3 The SweEval Benchmark
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


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
3 Discussion and Limitations


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
3. Concept of the AI Literacy in the AI Act
4. Legal AI Systems Benefit Assessment
5. Legal AI Systems Risk Assessment
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
5 Global Adaptability and Governance and Contextual Trust


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
1 Introduction
3 What Is XAI in the Context of LLMs?
5 Audience-Centered XAI role 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
Abstract
1 Introduction
2 Background and Related Work
3 Study Design and Data
4 Methods
5 Results
6 Discussion
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
2 Related Work
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
1 Introduction
5 Experimental Findings
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
Theoretical Case – Cross-Cultural Narratives on the Ethics of the “Other”
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
1. Introduction
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
III Results


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
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


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
2 Theoretical Background
6 Discussion


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
Foundational cognitive processes
Scientific and legal perspectives on humans and artificial intelligence
Methods
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
Abstract
2 Related Work
3 Methods
4 Findings


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
2. Literature Review
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
1. Introduction
3. Methodological Approach
6. Skills and Implicatons for the Future


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
Theoretical Foundations


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)
7. Operationalizing MWRE for LLM Alignment: Pathways, Pitfalls, and Technical Mechanisms
8. Future Research Directions and Broader Implications


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
Ethical Considerations
Future Directions
Discussion


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
3. The Eight Elements of Static Analysis: Theoretical Justification


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
2 Related Work


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
Abstract
1 Introduction
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
4. 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
Abstract
I Introduction
II Literature Review
IV Results and Discussion
V Implications
VII Appendix: Extracts from Participant Reflections