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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 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
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
Abstract 3 Study Methodology 5 Evaluation of Ethical Principle Implementations 6 Gap Mitigation Acknowledgment References
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
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 5 Discussion 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
CCS Concepts 1 Introduction 2 The Near-Long 3 The Problem with the Near/Long-Term Distinction 4 A Clearer Account of Research Priorities and Disagreements References
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
1 Introduction 2 Related Work 3 The ESR Process 4 Deployment and Evaluation 5 Discussion 6 Conclusion 7 Acknowledgments 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 2 The Need forEthical AI in Finance 3 Practical Challengesof Ethical AI 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
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 References Appendix A supplementary material
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Results Discussion References Materials and Methods
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
I. Introduction II. Underlying Aspects References
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
1 Introduction 2 The Question Bank: QB4AIRA References
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
1. Introductioon 2. A Multilevel Approach to AI Governance for Trust-Enhancing Practices 3. International and National Governance 4. Corporate Self-Governance 5. AI Literacy and Governance by Citizen 6. Psychology of Trust 8. Ethics and Trust Lenses in the Multilevel Framework 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
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
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 Introduction Literature Review Results References
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 References
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Abstract Introduction Applications in Military Versus Healthcare Identifying Ethical Concerns and Risks GREAT PLEA Ethical Principles for Generative AI in
Healthcare Conclusion References
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Generation-related References
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 8 Conclusion
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
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 Responsibility in War Computers, Autonomy and Accountability Moral Injury Human Factors Discussion 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 4 General Verification Framework 5 Falsification and Evaluation 6 Verification 7 Runtime Monitor 8 Regulations and Ethical Use 9 Discussions 10 Conclusions Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
Abstract 1 Introduction 3 Targeted data augmentation References
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Abstract Introduction References
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
Abstract 1 Introduction 2 Advancements in AI and Web-Based Programming 3 Emergence of Creative AI Tools and Game-Based Methodologies 4 Enhancing User Experience through Creative AI Tools 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 8 Real-World Applications: Showcasing Innovative
Implementations 9 Ethical Considerations in Integrating AI and Game Elements 10 Privacy Concerns in Interactive Web-Based Programming for Education 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
1 Introduction 2 Related Work on Data Excellence 3 Reliability and Reproducibility Metrics for
Responsible Data Collection 6 Discussion 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 IV. Applied and technology implications for LLMs V. Market analysis of LLMs and cross-industry use cases VI. Solution architecture for privacy-aware and trustworthy conversational AI VII. Discussions 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 4 Integrating red teaming, blue teaming, and ethics with violet teaming 5 Research directions in AI safety and violet teaming 6 A pathway for balanced AI innovation 7 Violet teaming to address dual-use risks of AI in biotechnology 8 Macrostrategy for responsible technology trajectories 9 The path forward 10 Supplemental & additional details References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
1 Introduction 2 Literature review 4 Results and discussion
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
References
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
Abstract 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 5. Discussion 6. Conclusion References