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You are now here: AI Ethics Primer - search within the bibliography - version 0.3 of 2023-08-13
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The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Report highlights Chapter 1 Reseach and Development Chapter 2 Technical Performance Chapter 3 Technical AI Ethics Chapter 4 The Economy and Education Chapter 5 AI Policy and Governance Appendix
Exciting, Useful, Worrying, Futuristic:
Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
Abstract 1 Introduction 2 Background 3 Research Method 5 Detail results and analysis 6 Threats to validity References 9 Appendices
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
1Introduction 2 Related Work 3 Method 4 Results 5 Discussion References
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
Abstract 1 Introduction 2 Related Work 3 Study Methodology 4 Evaluation of Ethical AI Principles 5 Evaluation of Ethical Principle Implementations 6 Gap Mitigation 8 Conclusion References
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Executive summary Introductionn 1. Problems with AI 2. Defining ethical AI 3. Implementing ethical AI Conclusion
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
1 Introduction 2 Related Work 3 Methodology 4 Results 6 Conclusion References
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
Abstract 4 A Clearer Account of Research Priorities and Disagreements Recommendations and Conclusion
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
Abstract 2 Related Work 3 The ESR Process 4 Deployment and Evaluation 5 Discussion References
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
Abstract 1 Introduction 3 Practical Challengesof Ethical AI 4 Conclusions & Outlook References
A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 2: History and prospective Section 3: Current trends 2020-2023 Section 4: Considerations and conclusions Appendix A: Bibliographical references Appendix B: Data and charts from arXiv
What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
1 Introduction 2 Background 3 Methodology 4 Proposed competency framework for responsible AI practitioners 5 Discussion 6 Conclusion References Appendix A supplementary material
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Introduction Results Discussion References
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
Abstract I. Introduction II. Underlying Aspects III. Interactions between Aspects IV. Concluding Remarks References
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
Abstract 1. Introductioon 3. International and National Governance 4. Corporate Self-Governance 5. AI Literacy and Governance by Citizen 6. Psychology of Trust 7. Propensity to Trust 8. Ethics and Trust Lenses in the Multilevel Framework 9. Virtue Ethics 10. Conclusion References
From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts / 2307.15452 / on (web) Publishing site
1. Introduction 3. Results References
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
Abstract 1. Introduction 2. Value Chains 3. AI Value Chains 4. Ethical Implications of AI Value Chains 5. Directions for Future Research & Governance References
Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / on (web) Publishing site
Abstract Literature Review Results
Regulating AI manipulation: Applying Insights from behavioral economics and psychology to enhance the practicality of the EU AI Act / 2308.02041 / 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 / on (web) Publishing site
Introduction Applications in Military Versus Healthcare Identifying Ethical Concerns and Risks GREAT PLEA Ethical Principles for Generative AI in
Healthcare Acknowledgements References
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Abstract Generation-related Conclusion
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / 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
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
Abstract 1 Introduction 2 Methodology 3 Taxonomy of ethics principles 4 Previous operationalisation of ethical principles 6 Conclusion References A Methodology
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Introduction Moral Injury AI Workplace Health and Safety Framework References
The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
Abstract 1 Introduction 2 Large Language Models 3 Vulnerabilities, Attack, and Limitations 5 Falsification and Evaluation 6 Verification 7 Runtime Monitor 8 Regulations and Ethical Use 9 Discussions 10 Conclusions
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
4 Discussion
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
Abstract
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Introduction Reflections
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
Abstract 2 Advancements in AI and Web-Based Programming 3 Emergence of Creative AI Tools and Game-Based Methodologies 5 Engaging Web-Based Programming with Game-Based Approaches 6 Unveiling the Potential: Benefits of Interactive Web-Based
Programming 7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques 9 Ethical Considerations in Integrating AI and Game Elements 11 Bias Awareness: Navigating AI-Generated Content in Education 12 The Future Landscape: Creative AI Tools and Game-Based
Methodologies in Education 13 Case Study Example: Learning Success with Creative AI and
Game-Based Techniques 14 Conclusion & Discussion References
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
Abstract 2 Related Work on Data Excellence References
Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph / 2308.13534 / on (web) Publishing site
I. Introduction III. Comprehensive review of state-of-the-art LLMs IV. Applied and technology implications for LLMs V. Market analysis of LLMs and cross-industry use cases References Appendix A industry-wide LLM usecases
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
Abstract 1 Introduction 2 The evolution of artificial intelligence: from theory to general capabilities 3 Emerging dual-use risks and vulnerabilities in AI systems 4 Integrating red teaming, blue teaming, and ethics with violet teaming 5 Research directions in AI safety and violet teaming 6 A pathway for balanced AI innovation 7 Violet teaming to address dual-use risks of AI in biotechnology 9 The path forward 10 Supplemental & additional details References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
Abstract 5 Conclusion References
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
Abstract 1 Introduction 2 Related works
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index Executive summary 1 Introduction 2 Key AI technology in financial services 3 Benefits of AI use in the finance sector 4 Threaths & potential pitfalls 5 Challenges 6 Regulation of AI and regulating through AI 7 Recommendations References
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
1 Introduction 2 Black box and lack of transparency 3 Bias and fairness 4 Human-centric AI 5 Ethical concerns and value alignment 6 Way forward 7 Conclusion References
The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie / 2309.02029 / on (web) Publishing site
1. Introduction 2. Related work 3. ChatGPT Training Process 4. Methods 5. Discussion 6. Conclusion References