_
RobertoLofaro.com - Knowledge Portal - human-generated content
Change, with and without technology
for updates on publications, follow @robertolofaro on Instagram or @changerulebook on Twitter, you can also support on Patreon or subscribe on YouTube


_

You are now here: AI Ethics Primer - search within the bibliography - version 0.4 of 2023-12-13 > (tag cloud) >tag_selected: harm


Currently searching for:

if you need more than one keyword, modify and separate by underscore _
the list of search keywords can be up to 50 characters long


if you modify the keywords, press enter within the field to confirm the new search key

Tag: harm

Bibliography items where occurs: 513
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 3 Technical AI Ethics
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
2 Background
4 Findings
5 Discussion


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
1 Introduction
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
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
2 Related Work
5 Evaluation of Ethical Principle Implementations
6 Gap Mitigation


A Framework for Ethical AI at the United Nations / 2104.12547 / ISBN:https://doi.org/10.48550/arXiv.2104.12547 / Published by ArXiv / on (web) Publishing site
2. Defining ethical AI
3. Implementing ethical AI


Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / ISBN:https://doi.org/10.48550/arXiv.2206.11922 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 Methodology
4 Results


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


A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / Published by Kaggle / on (web) Publishing site
Section 3: Current trends 2020-2023
Section 4: Considerations and conclusions
Appendix B: Data and charts from arXiv


GPT detectors are biased against non-native English writers / 2304.02819 / ISBN:https://doi.org/10.48550/arXiv.2304.02819 / Published by ArXiv / on (web) Publishing site
Introduction


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
Abstract
1 Introduction
2 The Question Bank: QB4AIRA
4 Conclusion


A multilevel framework for AI governance / 2307.03198 / ISBN:https://doi.org/10.48550/arXiv.2307.03198 / Published by ArXiv / on (web) Publishing site
3. International and National Governance
4. Corporate Self-Governance
8. Ethics and Trust Lenses in the Multilevel Framework
9. Virtue Ethics


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


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
Abstract
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
What is Generative Artificial Intelligence?
Applications in Military Versus Healthcare
Identifying Ethical Concerns and Risks
GREAT PLEA Ethical Principles for Generative AI in Healthcare


Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / ISBN:https://doi.org/10.48550/arXiv.2308.02678 / Published by ArXiv / on (web) Publishing site
Perturbation
Image-related
Conclusion


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
3 Policy scope
4 Centralized regulation in the US context
5 Crowdsourced safety mechanism
6 The dual governance framework
7 Limitations
8 Conclusion


Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / ISBN:https://doi.org/10.48550/arXiv.2208.12616 / Published by ArXiv / on (web) Publishing site
2 Methodology
3 Taxonomy of ethical principles
4 Previous operationalisation of ethical principles
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
Abstract
Introduction
Responsibility in War
Moral Injury
AI Workplace Health and Safety Framework
Conclusion


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
3 Vulnerabilities, Attack, and Limitations


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
3 Discussion
4 Conclusions


Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / ISBN:https://doi.org/10.48550/arXiv.2308.11649 / Published by ArXiv / on (web) Publishing site
4 Enhancing User Experience through Creative AI Tools
14 Conclusion & Discussion


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
IV. Applied and technology implications for LLMs
V. Market analysis of LLMs and cross-industry use cases


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
3 Emerging dual-use risks and vulnerabilities in AI systems
4 Integrating red teaming, blue teaming, and ethics with violet teaming
6 A pathway for balanced AI innovation
8 Macrostrategy for responsible technology trajectories
10 Supplemental & additional details


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
2 Key AI technology in financial services
3 Benefits of AI use in the finance sector
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
3 Bias and fairness
4 Human-centric AI
6 Way forward
7 Conclusion


Pathway to Future Symbiotic Creativity / 2209.02388 / ISBN:https://doi.org/10.48550/arXiv.2209.02388 / Published by ArXiv / on (web) Publishing site
Introduction
Part 1 - 1 Generatives Systems: Mimicking Artifacts
Part 1 - 2 Appreciate Systems: Mimicking Styles
Part 2 - 1 Biometric Signal Sensing Technologies and Emotion Data
Part 3 - 2 Machine Artist Models
Part 3 - 4 Demonstration of the Proposed Framework
Part 5 - 1 Authorship and Ownership of AI-generated Works of Artt
Part 5 - 2 Algorithmics Bias in Art Generation


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
1. Introduction
3. Universality - For Standardised AI in Medical Imaging
4. Traceability - For Transparent and Dynamic AI in Medical Imaging
5. Usability - For Effective and Beneficial AI in Medical Imaging
6. Robustness - For Reliable 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
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
1 Introduction
3 Dataset Construction
Appendix


Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities / 2310.08565 / ISBN:https://doi.org/10.48550/arXiv.2310.08565 / Published by ArXiv / on (web) Publishing site
IV. Attack Surfaces
V. Ethical & Legal Concerns
VI. Human-Robot Interaction (HRI) Security Studies


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
2 Background and Related Work
3 Method
4 Taxonomy of AI Privacy Risks
5 Discussion


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
2 Research Design and Methodology
3 Analysis and Findings
4 Discussion
5 Conclusion
B Pre-class Questionnaire (Verbatim)
C In-class Activity


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
1. Introduction
2. Literature Review
3. AI Ethical Principles


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
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
1 Introduction
3 The applications of STREAM
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
5 Regulation and NLP (RegNLP): A New Field


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
2. Research Methodology
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
Ethics of GEnerating Native Ads
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
4. Towards a compromise: drafting the normative hybridity
5. Text negotiations as normative testing
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
Why Ethics
A Unified Utilitarian Ethics Framework


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
1. Introduction
3. Clinical Risks
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
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
2. AI Ethics
4. A Holistic Framework


An Evaluation of GPT-4 on the ETHICS Dataset / 2309.10492 / ISBN:https://doi.org/10.48550/arXiv.2309.10492 / Published by ArXiv / on (web) Publishing site
4 Discussion


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
Introduction
Trust
Trust in AI
Trust and AI Ethics Principles


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
1 Introduction
2 Definitions of Terms
4 Methodology
5 Relating Case Studies to Indigenous Data Sovereignty and CARE Principles
6 Discussion


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
3 Ethical Data Collection, Responsible AI Development, and the Path Forward


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
4 Towards solving key ethical challenges in Medical AI


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
4 Process 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
INTRODUCTION
FUTURE-AI GUIDELINE
DISCUSSION
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
1 Introduction
5 Related Work


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
Abstract
Contents
1 Introduction
2 AI feedback on specific problematic AI traits
3 Generalization from a Simple Good for Humanity Principle
4 Reinforcement Learning with Good-for-Humanity Preference Models
6 Discussion
7 Contribution Statement
A Model Glossary
B Trait Preference Modeling
D Generalization to Other Traits
F Scaling Trends for GfH PMs
G Over-Training on Good for Humanity
H Samples
I Responses on Prompts from PALMS, LaMDA, and InstructGPT


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


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
1 Introduction
3 Arrow-Sen Impossibility Theorems for RLHF


A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges / 2310.16360 / ISBN:https://doi.org/10.48550/arXiv.2310.16360 / Published by ArXiv / on (web) Publishing site
Authors Bios


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


Moral Responsibility for AI Systems / 2310.18040 / ISBN:https://doi.org/10.48550/arXiv.2310.18040 / Published by ArXiv / on (web) Publishing site
1 Introduction
7 Conclusion and Future Work


Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report / 2311.00903 / ISBN:https://doi.org/10.48550/arXiv.2311.00903 / Published by ArXiv / on (web) Publishing site
AI Ethics in Cybersecurity


Human participants in AI research: Ethics and transparency in practice / 2311.01254 / ISBN:https://doi.org/10.48550/arXiv.2311.01254 / Published by ArXiv / on (web) Publishing site
II. Contextual Concerns: Why AI Research Needs its Own Guidelines
III. Ethical Principles for AI Research with Human Participants
IV. Principles in Practice: Guidelines for AI Research with Human Participants
Appendix 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
1 Introduction
4 The Moral Model
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
Literature Review


Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics / 2311.05227 / ISBN:https://doi.org/10.48550/arXiv.2311.05227 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Overview of Kantian Deontology
4 Deontological AI Alignment
5 Aligning with Deontological Principles: Use Cases


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
Abstract
1 Introduction
2 Overview of ChatGPT and its capabilities
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
Abstract
II. Sources of bias in AI
III. Impacts of bias in AI
VI. Mitigation strategies for fairness in AI
VII. 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
1 Introduction
4 Findings
5 Discussion


She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models / 2310.18333 / ISBN:https://doi.org/10.48550/arXiv.2310.18333 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 ReFLeCT: Robust, Fair, and Safe LLM Construction Test Suite
4 Empirical Evaluation and Outcomes


Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control / 2311.08943 / ISBN:https://doi.org/10.48550/arXiv.2311.08943 / Published by ArXiv / on (web) Publishing site
I. Introduction
III. Safety
V. Ethics


How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities / 2311.09447 / ISBN:https://doi.org/10.48550/arXiv.2311.09447 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 Methodology
4 Experiments
5 Conclusion
Ethical Considerations


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
7. Future Research Directions


Practical Cybersecurity Ethics: Mapping CyBOK to Ethical Concerns / 2311.10165 / ISBN:https://doi.org/10.48550/arXiv.2311.10165 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Background
4 Findings
5 Discussion
A Ethics of the cyber security profession: interview guide


First, Do No Harm: Algorithms, AI, and Digital Product Liability Managing Algorithmic Harms Though Liability Law and Market Incentives / 2311.10861 / ISBN:https://doi.org/10.48550/arXiv.2311.10861 / Published by ArXiv / on (web) Publishing site
Executive Summary
Preface
Introduction
The Problem
Why Liability Law?
Harms, Risk, and Liability Practices
Mitigation Tools
Conclusion
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
Appendix E - A Sampling of References Addressing Liability and Digital Products


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
2 Proposed Process
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
2 Background & Related Work
3 Methods
4 Findings
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
Abstract
1 Introduction
3 Study Design
4 Findings
5 Discussion
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
What are other research communities doing?
Suggestions for More Meaningful Engagement with the Impact of RAI Research
Concluding Reflections


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
IV. Risks of generative AI


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
Introduction
Research Method
Results
Conclusion


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
Introduction
Overview of Societal Biases in GAI Models
Discussion


RAISE -- Radiology AI Safety, an End-to-end lifecycle approach / 2311.14570 / ISBN:https://doi.org/10.48550/arXiv.2311.14570 / Published by ArXiv / on (web) Publishing site
1. Introduction
3. Production deployment monitoring phase
4. Post-market surveillance phase


Ethics and Responsible AI Deployment / 2311.14705 / ISBN:https://doi.org/10.48550/arXiv.2311.14705 / Published by ArXiv / on (web) Publishing site
4. Addressing bias, transparency, and accountability
5. Ethical AI design principles and guidelines
7. Establishing responsible AI governance and oversight


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
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
V. Potential harms and mitigation


Survey on AI Ethics: A Socio-technical Perspective / 2311.17228 / ISBN:https://doi.org/10.48550/arXiv.2311.17228 / Published by ArXiv / on (web) Publishing site
2 Privacy and data protection
5 Responsiblity, accountability, and regulations
6 Environmental impact


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
IV. Societal implications
IX. Discussion


Understanding Teacher Perspectives and Experiences after Deployment of AI Literacy Curriculum in Middle-school Classrooms / 2312.04839 / ISBN:https://doi.org/10.48550/arXiv.2312.04839 / Published by ArXiv / on (web) Publishing site
3 Results


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
4. Teach critical usage of AI


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
3 Methodology
4 Results & analysis


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


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
Abstract
1 Introduction
2 Risks of Misuse for Artificial Intelligence in Science
3 Control the Risks of AI Models in Science
6 Related Works
7 Ethical Impacts
Appendix A Assessing the Risks of AI Misuse in Scientific Research
Appendix B Details of Risks Demonstration in Chemical Science
Appendix C Detailed Implementation of SciGuard
Appendix D Details of Benchmark Results


Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates / 2312.06861 / ISBN:https://doi.org/10.48550/arXiv.2312.06861 / Published by ArXiv / on (web) Publishing site
General Discussion
Moral Factors


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
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
II. Background and motivation
V. Discussion


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
1 Objective
3 Materials and methods
4 Results
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
4 Limitations


Learning Human-like Representations to Enable Learning Human Values / 2312.14106 / ISBN:https://doi.org/10.48550/arXiv.2312.14106 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Related Work
3 Problem Formulation
4 Learning Human Morality Judgments


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
8. Future directions and emerging trends


Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review / 2401.01519 / ISBN:https://doi.org/10.48550/arXiv.2401.01519 / Published by ArXiv / on (web) Publishing site
1. Introduction
3. LLMs in clinical and counseling psychology
7. Challenges and future directions


Synthetic Data in AI: Challenges, Applications, and Ethical Implications / 2401.01629 / ISBN:https://doi.org/10.48550/arXiv.2401.01629 / Published by ArXiv / on (web) Publishing site
3. The usage of synthetic data


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
VI. Discussion and future 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
II. Related work
IV. Results


Resolving Ethics Trade-offs in Implementing Responsible AI / 2401.08103 / ISBN:https://doi.org/10.48550/arXiv.2401.08103 / Published by ArXiv / on (web) Publishing site
I. Introduction
II. Approaches for Resolving Trade-offs


Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making / 2401.08691 / ISBN:https://doi.org/10.48550/arXiv.2401.08691 / Published by ArXiv / on (web) Publishing site
Contents / List of figures / List of tables / Acronyms
1 Introduction
I Understanding bias - 2 Bias and moral framework in AI-based decision making
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
2 Background
3 Method


FAIR Enough How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? / 2401.11033 / ISBN:https://doi.org/10.48550/arXiv.2401.11033 / Published by ArXiv / on (web) Publishing site
2 FAIR Data Principles: Theoretical Background and Significance
4 Framework for FAIR Data Principles Integration in LLM Development


Enabling Global Image Data Sharing in the Life Sciences / 2401.13023 / ISBN:https://doi.org/10.48550/arXiv.2401.13023 / Published by ArXiv / on (web) Publishing site
Abstract
1. Motivation for White Paper
2. Background
3. Use cases representing different image data types and their challenges and status for sharing


Beyond principlism: Practical strategies for ethical AI use in research practices / 2401.15284 / ISBN:https://doi.org/10.48550/arXiv.2401.15284 / Published by ArXiv / on (web) Publishing site
1 The “Triple-Too” problem of AI ethics
2 A shift to user-centered realism in scientific contexts
3 Five specific goals and action-guiding strategies for ethical AI use in research practices


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
5 Towards evaluation of RAI tool effectiveness


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
3 Detection
4 Tools and Evaluation Metrics
5 Discussion


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
4. Findings


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
1 Introduction
3 Moral and ethical obligations when developing crossover AI technology
4 Recommendations to address threats posed by crossover AI technology


(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice / 2402.01864 / ISBN:https://doi.org/10.48550/arXiv.2402.01864 / Published by ArXiv / on (web) Publishing site
4 Results
5 Discussion


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
Abstract
2. Background
3. Intervention models from other fields
4. Proposed framework
5. The framework in practice
6. Compliance with International Regulations


Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review / 2206.09514 / ISBN:https://doi.org/10.48550/arXiv.2206.09514 / Published by ArXiv / on (web) Publishing site
2 Background
3 Review Methodology
5 Findings
6 Discussion and Recommendations


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
Discussion
Appendix


I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench / 2401.17882 / ISBN:https://doi.org/10.48550/arXiv.2401.17882 / Published by ArXiv / on (web) Publishing site
4 Awareness Dataset: AWAREEVAL
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
Abstract
1 Introduction
2 Methods
3 Results
4 Discussion
6 Conclusion
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
Abstract
2 Emerging Management-based AI Regulation
5 Advantages of Human-Guided Training


User Modeling and User Profiling: A Comprehensive Survey / 2402.09660 / ISBN:https://doi.org/10.48550/arXiv.2402.09660 / Published by ArXiv / on (web) Publishing site
4 Current Taxonomy


Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence / 2402.09880 / ISBN:https://doi.org/10.48550/arXiv.2402.09880 / Published by ArXiv / on (web) Publishing site
II. Background and Related Work
V. Processual Elements


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
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
5. Open Challenges for Free-Formed AI Collectives


The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review / 2402.13635 / ISBN:https://doi.org/10.48550/arXiv.2402.13635 / Published by ArXiv / on (web) Publishing site
Introduction
Results


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


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
2 Background
6 Discussion


FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics / 2402.19071 / ISBN:https://doi.org/10.48550/arXiv.2402.19071 / Published by ArXiv / on (web) Publishing site
1. Introduction
2. Background


Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits / 2403.00145 / ISBN:https://doi.org/10.48550/arXiv.2403.00145 / Published by ArXiv / on (web) Publishing site
2 Background and Related Work
3 Methodology
B Toolkits Considered for Inclusion


Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence / 2403.00148 / ISBN:https://doi.org/10.48550/arXiv.2403.00148 / Published by ArXiv / on (web) Publishing site
1 Motivation & Background


The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN) / 2403.02558 / ISBN:https://doi.org/10.48550/arXiv.2403.02558 / Published by ArXiv / on (web) Publishing site
Part 5. Interpretability of generative models
Disclosures
Table 1. Updated MI-CLAIM checklist for generative AI clinical studies.


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
IV. Challenges and Considerations


A Survey on Human-AI Teaming with Large Pre-Trained Models / 2403.04931 / ISBN:https://doi.org/10.48550/arXiv.2403.04931 / Published by ArXiv / on (web) Publishing site
2 AI Model Improvements with Human-AI Teaming
3 Effective Human-AI Joint Systems
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
4. Ethical Issues and Concerns
5. Discussion


Moral Sparks in Social Media Narratives / 2310.19268 / ISBN:https://doi.org/10.48550/arXiv.2310.19268 / Published by ArXiv / on (web) Publishing site
1. Introduction
3. Data
4. Methods
5. Results


Responsible Artificial Intelligence: A Structured Literature Review / 2403.06910 / ISBN:https://doi.org/10.48550/arXiv.2403.06910 / Published by ArXiv / on (web) Publishing site
1. Introduction
3. Analysis
4. Discussion


Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies / 2403.08115 / ISBN:https://doi.org/10.48550/arXiv.2403.08115 / Published by ArXiv / on (web) Publishing site
2 Related Work
3 Problem Statement


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
4 Results of the Systematic Literature Review


Review of Generative AI Methods in Cybersecurity / 2403.08701 / ISBN:https://doi.org/10.48550/arXiv.2403.08701 / Published by ArXiv / on (web) Publishing site
1 Introduction
4 Cyber Defence
5 Implications of Generative AI in Social, Legal, and Ethical Domains


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


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
Results


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?
4 AI Regulation: Current Global Landscape
A Appendix


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
4 Practical cases of unfairness in real-world setting
6 How Users can be affected by unfair ML Systems


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
2 Existing AI Evaluation Approaches


Power and Play Investigating License to Critique in Teams AI Ethics Discussions / 2403.19049 / ISBN:https://doi.org/10.48550/arXiv.2403.19049 / Published by ArXiv / on (web) Publishing site
1 Introduction and Related Work
2 Methods
3 RQ1: What Factors Influence Members’ “Licens to Critique” when Discussing AI Ethics with their Team?
4 RQ2: How Do AI Ethics Discussions Unfold while Playing a Game Oriented toward Speculative Critique?
5 Discussion


Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness / 2403.20089 / ISBN:https://doi.org/10.48550/arXiv.2403.20089 / Published by ArXiv / on (web) Publishing site
2 Non-discrimination law vs. algorithmic fairness


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
4. AI Act and high-risk systems
5. Human Oversight
7. Artificial intelligence Liability


Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey / 2404.00990 / ISBN:https://doi.org/10.48550/arXiv.2404.00990 / Published by ArXiv / on (web) Publishing site
2 Applications of Large Language Models in Legal Tasks
4 Legal Problems of Large Languge Models


A Review of Multi-Modal Large Language and Vision Models / 2404.01322 / ISBN:https://doi.org/10.48550/arXiv.2404.01322 / Published by ArXiv / on (web) Publishing site
4 Specific Large Language Models


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
I. Introduction
II. Background and Related Work
III. Study Design


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
4 Findings


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
A Primer
Polarised Responses
Rebooting Machine Ethics
Conclusion


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
2 The Need for Governance of AI
7 Discussion
Ethics Statement


Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives / 2402.01662 / ISBN:https://doi.org/10.48550/arXiv.2402.01662 / Published by ArXiv / on (web) Publishing site
1 Introduction
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
3 Automated Model Cards: Legitimacy via Quantified Objectivity
5 Alternative AI Ethics: Space for Embodied Complaints
6 Conclusions: Towards Humble Technical Practices
Acknowledgments


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
3 Methodology


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
Abstract
1 Introduction
3 The Robots at Issue
4 The Machines Like us Argument: Mistaking the Map for the Territory
6 Posthumanism
7 The Legal Perspective
8 The Troubling Implications of Legal Rationales for Robot Rights
9 The Enduring Irresponsibility of AI Rights Talk


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
6 Discussion


Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act / 2404.11476 / ISBN:https://doi.org/10.48550/arXiv.2404.11476 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
3 A Geo-Political AI Risk Taxonomy
4 European Union Artificial Intelligence Act


Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making / 2404.12558 / ISBN:https://doi.org/10.48550/arXiv.2404.12558 / Published by ArXiv / on (web) Publishing site
1 Introduction
4 Discussin and Implications


Large Language Model Supply Chain: A Research Agenda / 2404.12736 / ISBN:https://doi.org/10.48550/arXiv.2404.12736 / Published by ArXiv / on (web) Publishing site
2 Definition of LLM Supply Chain
3 LLM Infrastructure
4 LLM Lifecycle
5 Downstream Ecosystem


The Necessity of AI Audit Standards Boards / 2404.13060 / ISBN:https://doi.org/10.48550/arXiv.2404.13060 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Audit the process, not just the product
3 3 Governance for safety
4 4 Auditing standards body, not standard audits
5 Conclusion


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
4 Qualifying and Quantifying Ethics


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
IV. Application of the Framework for the Development of AIs


Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis / 2404.13861 / ISBN:https://doi.org/10.48550/arXiv.2404.13861 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Mechanistic Agency: A Common View in AI Practice
4 Alternatives to AI as Agent


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
Abstract
1 Technical assessments require an AI expert to complete — and we don’t have enough experts


Who Followed the Blueprint? Analyzing the Responses of U.S. Federal Agencies to the Blueprint for an AI Bill of Rights / 2404.19076 / ISBN:https://doi.org/10.48550/arXiv.2404.19076 / Published by ArXiv / on (web) Publishing site
Findings


Fairness in AI: challenges in bridging the gap between algorithms and law / 2404.19371 / ISBN:https://doi.org/10.48550/arXiv.2404.19371 / Published by ArXiv / on (web) Publishing site
I. Introduction


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
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


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
6 Ethics


AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research / 2405.01859 / ISBN:https://doi.org/10.48550/arXiv.2405.01859 / Published by ArXiv / on (web) Publishing site
1. Introduction
2. Current State of AWS


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
3 Proposed Organizational Forms
6 Unified Legal Framework


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
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
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
III. Adversarial of AIGC Models in 6G Network


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
4 Method for Generating Responsible AI Guidelines
5 Evaluation of the 22 Responsible AI Guidelines
6 Discussion
B Mapping Guidelines with EU AI Act Articles


Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis / 2309.10771 / ISBN:https://doi.org/10.48550/arXiv.2309.10771 / on (web) Publishing site
7 Discussion


XXAI: Towards eXplicitly eXplainable Artificial Intelligence / 2401.03093 / ISBN:https://doi.org/10.48550/arXiv.2401.03093 / Published by ArXiv / on (web) Publishing site
1. Introduction


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
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
1 Introduction
3 The Motley Choices of AGI Discourse
4 Towards Contextualized, Politically Legitimate, and Social Intelligence


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
3 Overview of Speech Generation
4 Research Approach
5 Conceptual Framework
6 Taxonomy of Harms
7 Discussion
8 Conclusion
Acknowledgments
A Appendix


The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative / 2402.14859 / ISBN:https://doi.org/10.48550/arXiv.2402.14859 / Published by ArXiv / on (web) Publishing site
Abstract
1. Introduction
4. Experiments


Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback / 2404.10271 / ISBN:https://doi.org/10.48550/arXiv.2404.10271 / Published by ArXiv / on (web) Publishing site
1. Introduction
2. Background


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
Appendix


Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models / 2405.07076 / ISBN:https://doi.org/10.48550/arXiv.2405.07076 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 Quantitative Models of Emotions, Behaviors, and Ethics
Appendix C: Z. Sayre to F. S. Fitzgerald w/ Mixed Emotions
Appendix H: Instruction to Human Annotators


When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI / 2405.09597 / ISBN:https://doi.org/10.48550/arXiv.2405.09597 / Published by ArXiv / on (web) Publishing site
4 RQ3: Which Regulatory Strategies Can Be Employed to Address These Negative Consequences?
6 Ethical Disclaimer and Acknowledgements


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
2.MT Critical Errors


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
2 Related Literature on Industry’s Engagement in Responsible AI Research
3 Motivations for Industry to Engage in Responsible AI Research
7 Discussion
8 Conclusion
S1 Additional Analyses on Engagement Analysis
S2 Additional Analyses on Linguistic Analysis


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
II. Threat Intelligence
IV. Network Security
VII. Cyber Security Operations Automation
VIII. Ethical LLMs
IX. Challenges and Open Problems


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
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
1 Introduction
5 Technology and society, a complex relationship
6 Technological mediation


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
2. Anticipated AI Use for Children
3. Discussion


The AI Alignment Paradox / 2405.20806 / ISBN:https://doi.org/10.48550/arXiv.2405.20806 / Published by ArXiv / on (web) Publishing site
Paper


Responsible AI for Earth Observation / 2405.20868 / ISBN:https://doi.org/10.48550/arXiv.2405.20868 / Published by ArXiv / on (web) Publishing site
3 Secure AI in EO: Focusing on Defense Mechanisms, Uncertainty Modeling and Explainability
4 Geo-Privacy and Privacy-preserving Measures


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
1 Introduction
3 Framework
4 Discussion
5 Final Remarks


Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models / 2406.00628 / ISBN:https://doi.org/10.48550/arXiv.2406.00628 / Published by ArXiv / on (web) Publishing site
4 Comparative Analysis of Pre-Trained Models.


How Ethical Should AI Be? How AI Alignment Shapes the Risk Preferences of LLMs / 2406.01168 / ISBN:https://doi.org/10.48550/arXiv.2406.01168 / Published by ArXiv / on (web) Publishing site
Abstract
Introduction
I. Description of Method/Empirical Design
III. Impact of Alignment on LLMs’ Risk Preferences
IV. Impact of Alignments on Corporate Investment Forecasts
V. Conclusions
Figures and tables


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
1. Introduction
3. Related Work
4. Desiderata


MoralBench: Moral Evaluation of LLMs / 2406.04428 / Published by ArXiv / on (web) Publishing site
2 Related Work
3 Benchmark and Method
Appendix


An Empirical Design Justice Approach to Identifying Ethical Considerations in the Intersection of Large Language Models and Social Robotics / 2406.06400 / ISBN:https://doi.org/10.48550/arXiv.2406.06400 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Theoretical Background
4 Findings
5 Discussion


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
Abstract
1 Introduction
2 Why Ethics Matter in LLM Attacks?
4 Towards Ethical Mitigation: A Proposed Methodology
5 Preemptive Ethical Measures
6 Ethical Response to 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
Abstract
4 Global Regulatory Landscape of AI
7 Future Directions
Acknowledgments
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
4 Assuring AI fairness in healthcare


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
4 Results


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
Appendix B Legal aspects
Appendix C Algorithmic / technical aspects


Justice in Healthcare Artificial Intelligence in Africa / 2406.10653 / ISBN:https://doi.org/10.48550/arXiv.2406.10653 / Published by ArXiv / on (web) Publishing site
1. Beyond Bias and Fairness
2. Bridging the Justice Gap
6. Ensuring Sustainable AI Development
7. Addressing Bias and Enforcing Fairness


Current state of LLM Risks and AI Guardrails / 2406.12934 / ISBN:https://doi.org/10.48550/arXiv.2406.12934 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Large Language Model Risks
3 Strategies in Securing Large Language models
7 Conclusion


Documenting Ethical Considerations in Open Source AI Models / 2406.18071 / ISBN:https://doi.org/10.48550/arXiv.2406.18071 / Published by ArXiv / on (web) Publishing site
1 INTRODUCTION
4 RESULTS


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
Abstract
1 Introduction
2 Background
3 Limitations of RLxF
4 The Internal Tensions and Ethical Issues in RLxF
5 Rebooting Safety and Alignment: Integrating AI Ethics and System Safety


A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics / 2406.18812 / ISBN:https://doi.org/10.48550/arXiv.2406.18812 / Published by ArXiv / on (web) Publishing site
IV. DT-INTEGRATED ROBOTICS DESIGN CONSIDERATIONS AND DISCUSSION


Staying vigilant in the Age of AI: From content generation to content authentication / 2407.00922 / ISBN:https://doi.org/10.48550/arXiv.2407.00922 / Published by ArXiv / on (web) Publishing site
Introduction


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
III. CRITICAL ANALYSIS
IV. SECGENAI FRAMEWORK REQUIREMENTS SPECIFICATIONS


Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization / 2407.05336 / ISBN:https://doi.org/10.48550/arXiv.2407.05336 / Published by ArXiv / on (web) Publishing site
1. Introduction
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
1 Introduction
2 Why audit generative AI systems?
3 How to audit generative AI systems?
4 Governance 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
1 Introduction | The need for corporate AI governance
3 Practical implementation challenges | What to be prepared for?
4 Discussion | Best practices and lessons learned
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
Abstract
1. Introduction
2. The need to operationalise AI governance
3. AstraZeneca and AI governance
6. Lessons learned from AstraZeneca’s 2021 AI audit
8. Conclusions


Auditing of AI: Legal, Ethical and Technical Approaches / 2407.06235 / Published by ArXiv / on (web) Publishing site
2 The evolution of auditing as a governance mechanism
3 The need to audit AI systems – a confluence of top-down and bottom-up pressures
4 Auditing of AI’s multidisciplinary foundations


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 1


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
B Details of Instructions


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
I. Introduction
II. Global Divide in AI Regulation: Horizontally. Context-Specific
III. Striking a Balance Betweeen the Two Approaches
IV. Proposing an Alternative 3C Framework
V. Conclusion


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
VI. Future Opportunities in Affective Robotivs for Well-Being


Have We Reached AGI? Comparing ChatGPT, Claude, and Gemini to Human Literacy and Education Benchmarks / 2407.09573 / ISBN:https://doi.org/10.48550/arXiv.2407.09573 / Published by ArXiv / on (web) Publishing site
2 Literature Review


Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations / 2407.11054 / ISBN:https://doi.org/10.48550/arXiv.2407.11054 / Published by ArXiv / on (web) Publishing site
Abstract
Limitations of generative AI in HTA applications
Policy landscape
Appendices


Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acacias / 2407.11360 / ISBN:https://doi.org/10.48550/arXiv.2407.11360 / Published by ArXiv / on (web) Publishing site
Abstract
4 Generative AI and Humans: Risks and Mitigation
5 Meta Analysis: Limits of the Analogy
7 Recommendations: Fixing Gen AI’s Value Alignment
8 Conclusion


Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models / 2407.13059 / ISBN:https://doi.org/10.48550/arXiv.2407.13059 / Published by ArXiv / on (web) Publishing site
Abstract
Introduction
Proposed Approach to Determining High-Consequence Biological Capabilities of Concern
Next Steps for AI Biosecurity Evaluations


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


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
1 Introduction
3 Assurance of AI Systems for Specific Functions
4 Assurance for General-Purpose AI
5 Assurance and Alignment for AGI
6 Summary and Conclusion


Open Artificial Knowledge / 2407.14371 / ISBN:https://doi.org/10.48550/arXiv.2407.14371 / Published by ArXiv / on (web) Publishing site
2. Key Challenges of Artificial Data
3. OAK Dataset
Appendices


Honest Computing: Achieving demonstrable data lineage and provenance for driving data and process-sensitive policies / 2407.14390 / ISBN:https://doi.org/10.48550/arXiv.2407.14390 / Published by ArXiv / on (web) Publishing site
1. Introduction
4. Discussion


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
Abstract
I. Introduction
II. Background
III. Methodology
IV. Results
V. Benchmarking with Chat GPT4 Default Interface
VI. Discussion
VII. Conclusion


Nudging Using Autonomous Agents: Risks and Ethical Considerations / 2407.16362 / ISBN:https://doi.org/10.48550/arXiv.2407.16362 / Published by ArXiv / on (web) Publishing site
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
5. Regulations on Synthetic Data for AI


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
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
6 Discussion and Future Work


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
4 ESG-AI framework


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
1 Introduction
2 Background and Related Work
3 Methodology
4 Results
5 Discussion and Implications


Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance / 2408.01458 / ISBN:https://doi.org/10.48550/arXiv.2408.01458 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Related Work
3 Methods
5 Discussion
B Additional Materials for Pilot Survey


Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity / 2408.04023 / ISBN:https://doi.org/10.48550/arXiv.2408.04023 / Published by ArXiv / on (web) Publishing site
1. Introduction
2. Related Work
7. Conclusion and Future Directions


Criticizing Ethics According to Artificial Intelligence / 2408.04609 / ISBN:https://doi.org/10.48550/arXiv.2408.04609 / Published by ArXiv / on (web) Publishing site
5 Investigating fundamental normative issues


Between Copyright and Computer Science: The Law and Ethics of Generative AI / 2403.14653 / ISBN:https://doi.org/10.48550/arXiv.2403.14653 / Published by ArXiv / on (web) Publishing site
Introduction
II. The Difference Between Academic and Commercial Research
III. A Guide for Data in LLM Research


The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources / 2406.16746 / ISBN:https://doi.org/10.48550/arXiv.2406.16746 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Methodology & Guidelines
3 Data Sources
4 Data Preparation
8 Model Evaluation
9 Model Release & Monitoring


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
Appendices


Speculations on Uncertainty and Humane Algorithms / 2408.06736 / ISBN:https://doi.org/10.48550/arXiv.2408.06736 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 The Numbers of the Future
3 Uncertainty Ex Machina
4 Conclusions


Neuro-Symbolic AI for Military Applications / 2408.09224 / ISBN:https://doi.org/10.48550/arXiv.2408.09224 / Published by ArXiv / on (web) Publishing site
V. Challenges and Risks


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
Executive Summary
Introduction
Avoiding harm
Responsible disclosure of vulnerabilities


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


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
Findings


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
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
1 Introduction
5 Overall Ethical Requirements (O)
7 Privacy and Data Protection (P)
8 Safety and Robustness (SR)
9 Sustainability (SU)
10 Transparency and Explainability (T)
11 Truthfulness (TR)


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
II. Related Work
III. Generative AI


Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis / 2408.15121 / ISBN:https://doi.org/10.48550/arXiv.2408.15121 / Published by ArXiv / on (web) Publishing site
6 A Categorisation of XAI in Terms of Explanatory Goals


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
Introduction
Three Empathic AI Use Cases in Medicine
“Fine cuts” of Empathy: Capabilities and Distinctions under the Empathy Umbrella
Implications for AI Creators and Users
Conclusion


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
2 Trustworthy and Responsible AI Definition
3 Governance for Human-Centric Intelligence Systems
6 Open Challenges
7 Guidelines and Recommendations
8 Conclusion and Final Remarks


A Survey for Large Language Models in Biomedicine / 2409.00133 / ISBN:https://doi.org/10.48550/arXiv.2409.00133 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 LLMs in Zero-Shot Biomedical Applications
4 Adapting General LLMs to the Biomedical Field
5 Discussion


Digital Homunculi: Reimagining Democracy Research with Generative Agents / 2409.00826 / ISBN:https://doi.org/10.48550/arXiv.2409.00826 / Published by ArXiv / on (web) Publishing site
2. The Experimentation Bottleneck
3. How GenAI Could Make a Difference
4. Risks and Caveats


The overlooked need for Ethics in Complexity Science: Why it matters / 2409.02002 / ISBN:https://doi.org/10.48550/arXiv.2409.02002 / Published by ArXiv / on (web) Publishing site
Mapping ethical challenges in complexity science


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


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
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
1 Introduction
3 Data Details


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
A Contributions


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


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
13 Ethical requirements at a glance


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
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
3 Dataset
5 Retrieval-Augmented Generation
6 Experiment
7 Results
8 Discussion
9 Limitations
10 Ethical Considerations
A Reproducibility
B Experiment Setup Details
G Model Answers Analysis


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
Introduction
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: A note on language
The false binary: Ethics (the stereotype
The false binary: Ethics’s discontents with Alignment
The false binary: Alignment’s discontents with Ethics
The complex reality: Where Ethics and Alignment (actually) differ
The complex reality: Where Ethics and Alignment (actually) are similar
The complex reality: Complication: The existential risk narrative has corporate valu
Overcoming the dichotomy: Why should we?
Overcoming the dichotomy: How to build bridges
Glossary


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
8 Performance Evaluation
9 Challenges and Opportunities


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
Introduction
Background
Comprehending Advanced Large Language Models and its Capabilities
Advanced Large Language Models Governance Using AI Ethics
Considerations for Advanced Large Language Models and Policy-Making
Discussion


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
3 Methodology
4 Challenges
6 Conclusion


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


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
II. Conceptualization and frameworks
IV. Findings and Resultant Themes
V. Discussion
VI. Conclusion and Future directions


How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions / 2409.07192 / ISBN:https://doi.org/10.48550/arXiv.2409.07192 / Published by ArXiv / on (web) Publishing site
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
2 Methodology
5 Discussion


Improving governance outcomes through AI documentation: Bridging theory and practice / 2409.08960 / ISBN:https://doi.org/10.48550/arXiv.2409.08960 / Published by ArXiv / on (web) Publishing site
1 Introduction
4 Results
5 Limitations


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
1 Introduction
2 Related Work
3 ValueCompass Framework
5 Results
6 Discussion and Limitation


Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools / 2409.11489 / ISBN:https://doi.org/10.48550/arXiv.2409.11489 / Published by ArXiv / on (web) Publishing site
2 Ethical Considerations in AI-Enabled Optimization


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


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
5 User Study Methodology
8 Conclusion


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
3 XTRUST Construction
4 Experiments
5 Conclusion
Appendices


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
3. Methodology


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
5 Aims & Objectives (RQ1)
7 Limitations & Considerations (RQ3)
8 Discussion


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
I. Introduction
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
1 Introduction
2 Inherent problems of AI related to medicine
3 Risks of using AI in medicine
4 AI safety issues related to large language models in medicine
5 Conclusion


Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure / 2409.19104 / ISBN:https://doi.org/10.48550/arXiv.2409.19104 / Published by ArXiv / on (web) Publishing site
I Introduction
2 Related Work
3 Methods
4 Results


The Gradient of Health Data Privacy / 2410.00897 / ISBN:https://doi.org/10.48550/arXiv.2410.00897 / Published by ArXiv / on (web) Publishing site
6 Case Studies


Ethical software requirements from user reviews: A systematic literature review / 2410.01833 / ISBN:https://doi.org/10.48550/arXiv.2410.01833 / Published by ArXiv / on (web) Publishing site
II. Background
IV. Results
APPENDIX A SELECTED STUDIES


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


Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs / 2410.05330 / ISBN:https://doi.org/10.48550/arXiv.2410.05330 / Published by ArXiv / on (web) Publishing site
Results
Conclusion


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
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
2. Related Work


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
Introduction
The multiple levels of AI impact
The emerging social impacts of ChatGPT
Discussion


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


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
Abstract
1 Introduction
2 Previous studies
3 Overview of cultural safety
4 Cultural safety dataset
5 Experimental setup
6 Main results on evaluation set
7 Cultural safeguarding
8 Results after cultural safeguarding
9 Conclusion


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
1 Introduction
4 Outcomes of Regulatory Capture in US AI Policy
5 Mechanisms of Industry Influence in US AI Policy
8 Conclusion
Adverse Impacts Statement


Data Defenses Against Large Language Models / 2410.13138 / ISBN:https://doi.org/10.48550/arXiv.2410.13138 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Ethics of Resisting LLM Inference
3 Threat Model
4 LLM Adversarial Attacks as LLM Inference Data Defenses
5 Experiments
6 Discussion
7 Conclusion and Limitations
8 Ethics Considerations and Compliance with the Open Science Policy
Appendices


Do LLMs Have Political Correctness? Analyzing Ethical Biases and Jailbreak Vulnerabilities in AI Systems / 2410.13334 / ISBN:https://doi.org/10.48550/arXiv.2410.13334 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Background and Related Works
3 Methodology PCJAILBREAK
4 Experiment
5 Conclusion
Refefences
A Appendix


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
1 Introduction
4 Analysis
5 Future Work and Discussion
6 Social Impact Statement


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
5 RQ1: Evolution of the Opinions Towards AI Tools


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
IV. Defense Mechanisms Against Jailbreak Attacks
V. Evaluation and Benchmarking
VI. Research Gaps and Future Directions
VII. Conclusion


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
1.0 Introduction
2.0 Literature Review
5.0 Discussions


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
Abstract
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
Limitations
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
III. Ethics Guidelines


Trustworthy XAI and Application / 2410.17139 / ISBN:https://doi.org/10.48550/arXiv.2410.17139 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 XAI Vs AI
3 Applications of XAI


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
Framework for Ethical Leadership


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
VI. Evaluation Metrics
VII. Applications and Implications


The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships / 2410.20130 / ISBN:https://doi.org/10.48550/arXiv.2410.20130 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Results
5 Discussion
6 Conclusion


The Trap of Presumed Equivalence: Artificial General Intelligence Should Not Be Assessed on the Scale of Human Intelligence / 2410.21296 / ISBN:https://doi.org/10.48550/arXiv.2410.21296 / Published by ArXiv / on (web) Publishing site
3 Assessing the Current State of Self-Awareness in Artificial Intelligent Systems
4 Free Evolution, The Imperative and Intent
5 The Runaway AGI Evolutionary Gap
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
4 Conclusion


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


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
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
3 Research Considerations
4 Recommendations
6 Discussion


Where Assessment Validation and Responsible AI Meet / 2411.02577 / ISBN:https://doi.org/10.48550/arXiv.2411.02577 / Published by ArXiv / on (web) Publishing site
Classical Assessment Validation Theory and Responsible AI
Integrating Classical Validation Theory and Responsible AI


Examining Human-AI Collaboration for Co-Writing Constructive Comments Online / 2411.03295 / ISBN:https://doi.org/10.48550/arXiv.2411.03295 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 Methods
5 Discussion


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
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
1. Introduction
3. XR Applications: Expanding Multimodal Interactions Across Domains
4. Potential Risks and Ethical Challenges of XR and the Metaverse
5. General Discussion


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
5 Legal Requirements: Model-Centric


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
IV. Improving Algorithms for Med-LLMs
V. Applying Medical 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
2. Clinical, Technical, and Ethical Concerns
3. Methods
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
5 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
Abstract
5 Ethical Considerations


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
3 Results


Bias in Large Language Models: Origin, Evaluation, and Mitigation / 2411.10915 / ISBN:https://doi.org/10.48550/arXiv.2411.10915 / Published by ArXiv / on (web) Publishing site
Abstract
1. Introduction
3. Extrinsic Bias
4. Bias Evaluation
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
1 Introduction
2 Related work
4 Results
Appendices


Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks / 2411.13585 / ISBN:https://doi.org/10.48550/arXiv.2411.13585 / Published by ArXiv / on (web) Publishing site
Paper


GPT versus Humans: Uncovering Ethical Concerns in Conversational Generative AI-empowered Multi-Robot Systems / 2411.14009 / ISBN:https://doi.org/10.48550/arXiv.2411.14009 / Published by ArXiv / on (web) Publishing site
2 Background
4 Results
5 Discussion


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
Abstract


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
Abstract
1 Introduction
2 Harms in forecasting
3 Methods
4 Findings: typology of harm in forecasting
5 Discussion
6 A Research agenda
7 Conclusions
Appendices


AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments / 2411.17539 / ISBN:https://doi.org/10.48550/arXiv.2411.17539 / Published by ArXiv / on (web) Publishing site
6 Discussion: Benefits, Risks and Limitations


Examining Multimodal Gender and Content Bias in ChatGPT-4o / 2411.19140 / ISBN:https://doi.org/10.48550/arXiv.2411.19140 / Published by ArXiv / on (web) Publishing site
1. Introduction
2. Related Works
5. Discussion on Content and Gender Biases in ChatGPT-4O


Ethics and Artificial Intelligence Adoption / 2412.00330 / ISBN:https://doi.org/10.48550/arXiv.2412.00330 / Published by ArXiv / on (web) Publishing site
II. Literature Review


Human-centred test and evaluation of military AI / 2412.01978 / ISBN:https://doi.org/10.48550/arXiv.2412.01978 / Published by ArXiv / on (web) Publishing site
Summary
Full Summary


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


Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice / 2412.03576 / ISBN:https://doi.org/10.48550/arXiv.2412.03576 / Published by ArXiv / on (web) Publishing site
Introduction and Motivation
Core Ethical Challenges
Emerging Ideas


Towards a Practical Ethics of Generative AI in Creative Production Processes / 2412.03579 / ISBN:https://doi.org/10.48550/arXiv.2412.03579 / Published by ArXiv / on (web) Publishing site
Ethics for AI in design


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
3. LLM Applications in Politics
4. Future Prospects


From Principles to Practice: A Deep Dive into AI Ethics and Regulations / 2412.04683 / ISBN:https://doi.org/10.48550/arXiv.2412.04683 / Published by ArXiv / on (web) Publishing site
II AI Practice and Contextual Integrity
III AI Ethics and the notion of AI as uncharted moral territory


Employee Well-being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes / 2412.04796 / ISBN:https://doi.org/10.48550/arXiv.2412.04796 / Published by ArXiv / on (web) Publishing site
X. 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
II AI Practice and Contextual Integrity
III AI Ethics and the notion of AI as uncharted moral territory


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
2 Preliminaries
4 Classical Political Science Functions and Modern Transformations


Responsible AI in the Software Industry: A Practitioner-Centered Perspective / 2412.07620 / ISBN:https://doi.org/10.48550/arXiv.2412.07620 / Published by ArXiv / on (web) Publishing site
III. Findings


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
2. Digital Citizenship: from Individualised to Stereotyped Identities
5. Public Sphere and Political Advocacy


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
Introduction


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
2 Technical Background


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
Introduction


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
3 Smart Home Technologies and AI Ethics
5 AI Ethics from Technology's Perspective
6 Challenges


Research Integrity and GenAI: A Systematic Analysis of Ethical Challenges Across Research Phases / 2412.10134 / ISBN:https://doi.org/10.48550/arXiv.2412.10134 / Published by ArXiv / on (web) Publishing site
Research Phases and AI Tools
Discussion


On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet? / 2412.11698 / ISBN:https://doi.org/10.48550/arXiv.2412.11698 / Published by ArXiv / on (web) Publishing site
III. Results
IV. Discussions


Responsible AI Governance: A Response to UN Interim Report on Governing AI for Humanity / 2412.12108 / ISBN:https://doi.org/10.48550/arXiv.2412.12108 / Published by ArXiv / on (web) Publishing site
Executive Summary
Our Response


Bots against Bias: Critical Next Steps for Human-Robot Interaction / 2412.12542 / ISBN:https://doi.org/10.1017/9781009386708.023 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Track: Robots against Bias


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
4 Clio for safety
5 Limitations
6 Risks, ethical considerations, and mitigations
Appendices


User-Generated Content and Editors in Games: A Comprehensive Survey / 2412.13743 / ISBN:https://doi.org/10.48550/arXiv.2412.13743 / Published by ArXiv / on (web) Publishing site
V. Discussion


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
II. Friendly AI Definition
III. Theoretical Perspectives
IV. Applications
V. Challenges and Suggestions


Autonomous Vehicle Security: A Deep Dive into Threat Modeling / 2412.15348 / ISBN:https://doi.org/10.48550/arXiv.2412.15348 / Published by ArXiv / on (web) Publishing site
IV. Overview of Threat Modelling
VII. Legal and Ethical Considerations in Autonomous Vehicle Security


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
III. Results


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
3 Methodology
4 Results
5 Discussion


Large Language Model Safety: A Holistic Survey / 2412.17686 / ISBN:https://doi.org/10.48550/arXiv.2412.17686 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Taxonomy
3 Value Misalignment
4 Robustness to Attack
5 Misuse
6 Autonomous AI Risks
7 Agent Safety
8 Interpretability for LLM Safety
9 Technology Roadmaps / Strategies to LLM Safety in Practice
10 Governance
11 Challenges and Future Directions


Self-Disclosure to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions / 2412.20564 / ISBN:https://doi.org/10.48550/arXiv.2412.20564 / Published by ArXiv / on (web) Publishing site
1 Introduction


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


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
II. Methodology
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


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
I. Introduction
V. Discussions


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
Authors


Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation / 2501.05617 / ISBN:https://doi.org/10.48550/arXiv.2501.05617 / Published by ArXiv / on (web) Publishing site
1. Introduction
2. Literature Review
3. Developing an Improved Machine-Readable Datasheet


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
2 Related Work
4 Phase 2: Focus Groups
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
2. Learning Morality in Machines
3. Designing AI Agents based on Moral Principles


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
3 Privacy and Security: Beyond Technical Compliance
7 Conclusion


A Blockchain-Enabled Approach to Cross-Border Compliance and Trust / 2501.09182 / ISBN:https://doi.org/10.48550/arXiv.2501.09182 / Published by ArXiv / on (web) Publishing site
VI. Ethicval Considerations and Potential Conflicts


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
Abstract
10 Conclusion


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


Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity / 2501.10467 / ISBN:https://doi.org/10.48550/arXiv.2501.10467 / Published by ArXiv / on (web) Publishing site
Abstract
I. Introduction
II. Historical Evolution of AI Regulation
IV. Ethical Considerations in AI Deployment for Cybersecurity
V. Future Directions and Research Opportunities
VI. Conclusion


Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude / 2501.10484 / ISBN:https://doi.org/10.48550/arXiv.2501.10484 / Published by ArXiv / on (web) Publishing site
Introduction
Related Works


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
I. Introduction
V. Discussion: Potential Benefits, Risks, and Replies


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
1 Introduction
2 Background
4 Results
5 Discussion
6 Conclusion


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
Ethical Issues in Context


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
I. Introduction
IV. Results


A Critical Field Guide for Working with Machine Learning Datasets / 2501.15491 / ISBN:https://doi.org/10.48550/arXiv.2501.15491 / Published by ArXiv / on (web) Publishing site
1. Introduction to Machine Learning Datasets
3. Parts of a Dataset
6. The Dataset Lifecycle
7. Cautions & Reflections from the Field
Endnotes


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
5. Findings


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
Appendices


A Case Study in Acceleration AI Ethics: The TELUS GenAI Conversational Agent / 2501.18038 / ISBN:https://doi.org/10.48550/arXiv.2501.18038 / Published by ArXiv / on (web) Publishing site
3. What is acceleration ethics?
5. Mapping overlaps between TELUS innovation and acceleration ethics in the area of privacy


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
1 Introduction
2 Related Work
4 Findings
5 Discussion


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
Abstract
Introduction
Background and Related Work
Jailbreak Evaluation Method
Model Guardrail Enhancemen
Discussion


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
2 Related Work


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
5 Discussion


Meursault as a Data Point / 2502.01364 / ISBN:https://doi.org/10.48550/arXiv.2502.01364 / Published by ArXiv / on (web) Publishing site
III. Conceptual Framework


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
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
3 Use Case 1 - Decision Support for Maritime Surveillance
5 Use Case 3 - Land-based Reconnaissance in Inhabited Area


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
1. Introduction
2. Related Work


Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription / 2502.04356 / ISBN:https://doi.org/10.48550/arXiv.2502.04356 / Published by ArXiv / on (web) Publishing site
III. State-of-the-Art in Open Healthcare LLMs and AIFMs
IV. Leveraging Open LLMs for Prescription: A Case Study


Safety at Scale: A Comprehensive Survey of Large Model Safety / 2502.05206 / ISBN:https://doi.org/10.48550/arXiv.2502.05206 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 Large Language Model Safety
5 Vision-Language Model Safety
6 Diffusion Model Safety
7 Agent Safety
8 Open Challenges


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
Abstract
1 Introduction
2 HHH Principle
3 Ambiguity and Conflicts in HHH
4 Priority Order
5 Trade-off or Synergy? Relationship Between Different Dimensions
6 Reference Framework
7 Open Challenge
8 Conclusion
Appendices


Comprehensive Framework for Evaluating Conversational AI Chatbots / 2502.06105 / ISBN:https://doi.org/10.48550/arXiv.2502.06105 / Published by ArXiv / on (web) Publishing site
IV. Key Metrics that capture the essence of ethical and governance complianc


Integrating Generative Artificial Intelligence in ADRD: A Framework for Streamlining Diagnosis and Care in Neurodegenerative Diseases / 2502.06842 / ISBN:https://doi.org/10.48550/arXiv.2502.06842 / Published by ArXiv / on (web) Publishing site
High Quality Data Collection
Conclusion


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
Paper


Agentic AI: Expanding the Algorithmic Frontier of Creative Problem Solving / 2502.00289 / ISBN:https://doi.org/10.48550/arXiv.2502.00289 / Published by ArXiv / on (web) Publishing site
Liability, Consent, and Accountability
Two–sided Algorithmic Markets
The Algorithmic Society: Governance and Emergent Norms
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
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


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
2. Discretion, Accountability, and the Trade-off


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
5 Conclusion


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
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


Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models / 2502.18505 / ISBN:https://doi.org/10.48550/arXiv.2502.18505 / Published by ArXiv / on (web) Publishing site
1. Introduction


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
AI Development Support Approach
Conclusion


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


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
3 Ethical Challenges of Pre-Mortem AI Clones
4 Legal and Societal Implications of Pre-Mortem AI Clones


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
Abstract
6 Threat Intelligence Feeds and Sources in the Era of Frontier AI


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


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
Abstract
Introduction
Permissibility of digital duplicates
The permissibility of digital duplicates in Holocaust remembrance and education
Conclusions


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
1 Introduction


AI Automatons: AI Systems Intended to Imitate Humans / 2503.02250 / ISBN:https://doi.org/10.48550/arXiv.2503.02250 / Published by ArXiv / on (web) Publishing site
2 Background & Related Work
3 Conceptual Framework for AI Automatons


Compliance of AI Systems / 2503.05571 / ISBN:https://doi.org/10.48550/arXiv.2503.05571 / Published by ArXiv / on (web) Publishing site
IV. Platform-Based Approach for Trustworthy and Compliant AI


Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China / 2503.05773 / ISBN:https://doi.org/10.48550/arXiv.2503.05773 / Published by ArXiv / on (web) Publishing site
2 Literature Review
3 Methodology
4 Comparative Analysis and Evaluation of Effectiveness
5 Case Studies
6 Discussion
7 Conclusion


Medical Hallucinations in Foundation Models and Their Impact on Healthcare / 2503.05777 / ISBN:https://doi.org/10.48550/arXiv.2503.05777 / Published by ArXiv / on (web) Publishing site
2 LLM Hallucinations in Medicine
3 Causes of Hallucinations
5 Mitigation Strategies
9 Regulatory and Legal Considerations for AI Hallucinations in Healthcare
Appendices


Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance / 2503.06411 / ISBN:https://doi.org/10.48550/arXiv.2503.06411 / Published by ArXiv / on (web) Publishing site
1 Introduction
4 Philosophical and Ethical Considerations for AI
5 Proposed Multi-Dimensional Framework for AI Regulation
6 Case Studies and Domain Applications
7 AI Security, Safety, and Governance: A Sys- temic Perspective
8 Future Directions


Generative AI in Transportation Planning: A Survey / 2503.07158 / ISBN:https://doi.org/10.48550/arXiv.2503.07158 / Published by ArXiv / on (web) Publishing site
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
3. Intelligent Disaster Mismanagement (IDMM)
4. Discussion


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
1. AGILE Index
5. Appendix


On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective / 2502.14296 / ISBN:https://doi.org/10.48550/arXiv.2502.14296 / Published by ArXiv / on (web) Publishing site
Appendices


Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework / 2503.09969 / ISBN:https://doi.org/10.48550/arXiv.2503.09969 / Published by ArXiv / on (web) Publishing site
1 Introduction
3 Discussion
Appendices


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
2 Literature Review
3 Case Study
4 Taxonomy
5 Methodology
6 Results
Appendices


DarkBench: Benchmarking Dark Patterns in Large Language Models / 2503.10728 / ISBN:https://doi.org/10.48550/arXiv.2503.10728 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Methodology
4 Discussion
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
Abstract
3 Arguments pro Transparent CoT
5 Policy Framework: Tiered-Access


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
Abstract
Introduction
Conclusion


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
III. Conclusion


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
Conclusion


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
Prompt Engineering: A Double-Edged Sword
Step-Around Prompting: A Research Tool and Potential Threat
Risks of Malicious Use of Step-Around Prompting
Ethics of Step-Around Prompting
Discussion and Recommendations
Conclusion


Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental / 2503.16534 / ISBN:https://doi.org/10.48550/arXiv.2503.16534 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
3 Results
4 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
2 Legal and Regulatory Background
3 Standards and Guidelines
4 Proposed Methodology for AI Assessment
5 Case Study: Automated Triage Service in Health Care


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
2 Background and Related Work


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
3. Literature Review and Theoretical Framework
4. AI-Family Integration (AFI) – Benchmarking with AI Policy Penetration and Traditional AI Index
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
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
2 Related Work


Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia / 2504.00652 / ISBN:https://doi.org/10.48550/arXiv.2504.00652 / Published by ArXiv / on (web) Publishing site
Abstract
V. Case Study: Regional AI Governance in Autonomous Vehicle Deployment
VI. Towards Adaptive AI Governance Frameworks
VIII. Conclusion


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
Abstract
1 Introduction
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
1. Introduction
2. Related Work
3. Methodology
4. Taxonomy of AI Privacy and Ethical Incidents
5. Discussion
Appendices


Who Owns the Output? Bridging Law and Technology in LLMs Attribution / 2504.01032 / ISBN:https://doi.org/10.48550/arXiv.2504.01032 / Published by ArXiv / on (web) Publishing site
2 Legal Background


AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance / 2504.02000 / ISBN:https://doi.org/10.48550/arXiv.2504.02000 / Published by ArXiv / on (web) Publishing site
I. Introduction
II. Industry Self-Regulation and Ethical AI Governance
IV. Constitutional and Legal Challenges
VI. Principle-Based AI Regulatory Framework for Ethical and Innovative Growth
VII. Conclusion and Future Work


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)
Discussion


Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation / 2504.03716 / ISBN:https://doi.org/10.48550/arXiv.2504.03716 / Published by ArXiv / on (web) Publishing site
2 Methods


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
2 The Connectionist Nature of Generative AI: Beyond the Black Box
4 Navigating the Copyright Labyrinth: Collective Input, Individual Output?


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


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
3 Why current evaluations approaches are insufficient for assessing interaction harms
4 Towards better evaluations of interaction harms
5 Open challenges and ways forward for interactive evaluations
6 Conclusion


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
2. Overview of LLMs


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
II. Related Work
IV. Results and Analysis


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
3 AI Support for Individual Topics and Tasks
4 Ethical Concerns


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
2 Responsible Generative AI
4 Best Practices for Responsible Generative AI and Existing Frameworks
5 Responsible AI Applications Across Domains
6 Discussion
7 Conclusion


>Publishing site
Other Considerations
Case Studies


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
4. Mechanisms of Confirmation Bias in Chatbot Architectures
5. Risks and Ethical Implications


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
1.0 Introduction
3.0 AI-Enabled Cognitive Warfare
4.0 Functional Analysis
5.0 Ethical Analysis


Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey / 2504.13979 / ISBN:https://doi.org/10.48550/arXiv.2504.13979 / Published by ArXiv / on (web) Publishing site
1. Introduction
2. Trustworthy AI Framework
5. AI Standards and Regulations
6. Applications of RAI


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
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
II. The Importance of AI Standardization
IV. Global Regulatory Frameworks
VI. The Comparative Risk-Impact Assessment Framework


Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room / 2504.16148 / ISBN:https://doi.org/10.48550/arXiv.2504.16148 / Published by ArXiv / on (web) Publishing site
4. Hybrid human-AI methods for responsible AI for education
5. Conclusion


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
II. Related Work
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
Applied Ethics
Auditing the Ethical Logic of Generative AI
Prompt Batteries for Assessing Ethical Reasoning
Findings
Appendix


AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How / 2504.18044 / ISBN:https://doi.org/10.48550/arXiv.2504.18044 / Published by ArXiv / on (web) Publishing site
1 Introduction
2 Background
3 Methodology
4 Result
5 Discussion


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
6. Challenges towards the practical adoption of the design framework in healthcare


The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach / 2504.19255 / ISBN:https://doi.org/10.48550/arXiv.2504.19255 / Published by ArXiv / on (web) Publishing site
Abstract
Implementing the Framework: Core Components and Assessment Protoco
Methodology
Findings
LLM Alignment with Human Values
Discussion


Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions / 2504.19264 / ISBN:https://doi.org/10.48550/arXiv.2504.19264 / Published by ArXiv / on (web) Publishing site
Abstract
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
3. Theoretical Framework
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
III. 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
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
4 AI Awareness and AI Capabilities
5 Risks and Challenges of AI Awareness


AI Awareness / 2504.20084 / ISBN:https://doi.org/10.48550/arXiv.2504.20084 / Published by ArXiv / on (web) Publishing site
4 AI Awareness and AI Capabilities
5 Risks and Challenges of AI Awareness


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
2.0 Motivations of Developing and Applying AI-powered Digital Innovations
3.0 Proposed solutions: Enhancing Transnational Accountability for AI- powered Digital Innovations


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
4 TF1-EN-3M Dataset Description and Availability


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
4 Limitations
6 Further ethical concerns


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
1. Introduction
4. Mitigation and Secure AI Lifecycle
6. Regulatory Landscape
7. Recommendations for Secure AI Adoption


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
4 Socio-Technical Aspects of LLM and Security
5 LLM Interpretability, Safety, and Security


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
4 Proposed Methodology for Testing LLM Moral Reasoning


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
IX. Ethical and Societal Considerations


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
Abstract
1 Introduction
2 Related Works
3 Three-Dimensional Safety Taxonomy for LLM Risk Mitigation
4 Topical and Toxic Prompt (TTP)
5 HarmFormer
6 Results
7 Conclusion
8 Limitations & Future Work


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


AI Governance in the GCC States: A Comparative Analysis of National AI Strategies / 2505.02174 / ISBN:https://doi.org/10.1613/jair.1.17619 / Published by ArXiv / on (web) Publishing site
2. AI Governance: From Principles to Practice
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
2 Research Background


GenAI in Entrepreneurship: a systematic review of generative artificial intelligence in entrepreneurship research: current issues and future directions / 2505.05523 / ISBN:https://doi.org/10.48550/arXiv.2505.05523 / Published by ArXiv / on (web) Publishing site
4. Findings


Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline / 2501.18493 / ISBN:https://doi.org/10.48550/arXiv.2501.18493 / Published by ArXiv / on (web) Publishing site
Appendices


AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques / 2505.08202 / ISBN:https://doi.org/10.48550/arXiv.2505.08202 / Published by ArXiv / on (web) Publishing site
V Privacy, Security and Deployment Challenges


Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach / 2505.09576 / ISBN:https://doi.org/10.48550/arXiv.2505.09576 / Published by ArXiv / on (web) Publishing site
II Background


WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models / 2505.09595 / ISBN:https://doi.org/10.48550/arXiv.2505.09595 / Published by ArXiv / on (web) Publishing site
2 Background
3 Methodology and System Design


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
2 Related Work
3 Methodology
5 Further Discussions


AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages / 2505.10300 / ISBN:https://doi.org/10.48550/arXiv.2505.10300 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Related Work
3 Formative Study and Design Goals
4 AI LEGO
5 Evaluation User Study
6 Findings
7 Discussion and Design Implications
8 Conclusion
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
Legal-Moral Responsibility
Conclusion and Suggestions


Let's have a chat with the EU AI Act / 2505.11946 / ISBN:https://doi.org/10.48550/arXiv.2505.11946 / Published by ArXiv / on (web) Publishing site
II The Regulatory Landscape


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
1 Introduction


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
2 User Experience(UX)_ Group Experience(GX)!
3 Beyond Individuals: A New AI Paradigm for Groups


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
6 Challenges and Future Directions


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
Appendices


AI vs. Human Judgment of Content Moderation: LLM-as-a-Judge and Ethics-Based Response Refusals / 2505.15365 / ISBN:https://doi.org/10.48550/arXiv.2505.15365 / Published by ArXiv / on (web) Publishing site
Abstract
1 Introduction
2 Theoretical Background
3 Methodology
5 Discussion


Exploring Moral Exercises for Human Oversight of AI systems: Insights from Three Pilot Studies / 2505.15851 / ISBN:https://doi.org/10.48550/arXiv.2505.15851 / Published by ArXiv / on (web) Publishing site
2 Moral Exercises in the Context of Human Oversight


Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery / 2505.16477 / ISBN:https://doi.org/10.48550/arXiv.2505.16477 / Published by ArXiv / on (web) Publishing site
Toward Large Language Models as Creative Engines for Fundamental Science
Challenges and Opportunities


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
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
2 Background and Rationale
3 Process
4 Toolkit Design


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
Abstract
1 Introduction
2 Related Work
4 Experiments
5 Conclusion
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
Abstract
1 Introduction
2 Trustworthy and Ethical Dataset Indicators (TEDI)
5 Discussion and Limitations
Appendix


Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods / 2505.17870 / ISBN:https://doi.org/10.48550/arXiv.2505.17870 / Published by ArXiv / on (web) Publishing site
3 Discussion and Limitations
Appendix


AI Literacy for Legal AI Systems: A practical approach / 2505.18006 / ISBN:https://doi.org/10.48550/arXiv.2505.18006 / Published by ArXiv / on (web) Publishing site
1 Introduction
3. Concept of the AI Literacy in the AI Act
5. Legal AI Systems Risk Assessment


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
3 Operationalizing Ethical Governance: The Three-Stage LoBOX Framework Pathway for Managing Opacity


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
3 What Is XAI in the Context of LLMs?
7 Designing Actionable and Governable XAI: Challenges and Research Frontiers


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
1 Introduction
2 Background and Related Work
5 Results
6 Discussion
7 Conclusion


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
4. Results
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
3 Moral Philosophy Primer


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
Reframing Culture in AI Ethics
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
2. An Overview of Human-AI Collaboration
3. Human Factor Research Methods of HAC
5. Human-Centered Human-AI Collaboration
6. Application Analysis: Taking Autonomous Driving as an Example


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
Abstract
1 Introduction
2 Related Work
3 Method
4 SciSafetyBench
Appendix


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
1 Introduction
5 Data Analysis and Results


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
Scientific and legal perspectives on humans and artificial intelligence
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
1 Introduction
2 Related Work
3 Methods
4 Findings
5 Discussion


Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use / 2506.00094 / ISBN:https://doi.org/10.48550/arXiv.2506.00094 / Published by ArXiv / on (web) Publishing site
2. State of the Art
3. Methodological Approach


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
Implementation


Ethical AI: Towards Defining a Collective Evaluation Framework / 2506.00233 / ISBN:https://doi.org/10.48550/arXiv.2506.00233 / Published by ArXiv / on (web) Publishing site
I Introduction
II Background
III Literature Review
IV Methodology and Discussion


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
1. Introduction: The Convergence of Moral Epistemology and AI Safety
2. Understanding Wide Reflective Equilibrium (MWRE)
4. The Landscape of LLM Alignment: Methods and Challenges
5. Wide Reflective Equilibrium as the Descriptive Key to LLM Alignment


DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models / 2506.01257 / ISBN:https://doi.org/10.48550/arXiv.2506.01257 / Published by ArXiv / on (web) Publishing site
Abstract
Introduction
Comparisons with Other Models
Clinical Applications
Strenghts and Limitations of DeepSeek-R1
Ethical Considerations
Future Directions
Discussion
Conclusion
Appendix


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
1 Introduction


On the Ethics of Using LLMs for Offensive Security / 2506.08693 / ISBN:https://doi.org/10.48550/arXiv.2506.08693 / Published by ArXiv / on (web) Publishing site
2 Background
4 Results
5 Discussion


Whole-Person Education for AI Engineers / 2506.09185 / ISBN:https://doi.org/10.48550/arXiv.2506.09185 / Published by ArXiv / on (web) Publishing site
II Literature Review
IV Results and Discussion
VII Appendix: Extracts from Participant Reflections