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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
Chapter 2 Technical Performance Chapter 5 AI Policy and Governance
Exciting, Useful, Worrying, Futuristic:
Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site
2 Background References
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
1 Introduction
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
1Introduction 2 Related Work 4 Results
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
2 Related Work 4 Evaluation of Ethical AI Principles 5 Evaluation of Ethical Principle Implementations References
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Executive summary 2. Defining ethical AI
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
2 Related Work 3 Methodology 4 Results 5 Discussion
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
1 Introduction 2 The Near-Long 3 The Problem with the Near/Long-Term Distinction 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
1 Introduction 3 The ESR Process 4 Deployment and Evaluation
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
1 Introduction 3 Practical Challengesof Ethical AI
A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 2: History and prospective
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 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
Materials and Methods
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
I. Introduction References
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
2 The Question Bank: QB4AIRA
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
Abstract 1. Introductioon 2. A Multilevel Approach to AI Governance for Trust-Enhancing Practices 3. International and National Governance 4. Corporate Self-Governance 8. Ethics and Trust Lenses in the Multilevel Framework 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 2. Method 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
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
Introduction 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
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
Applications in Military Versus Healthcare GREAT PLEA Ethical Principles for Generative AI in
Healthcare Conclusion
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Perturbation
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
2 Background 4 Centralized regulation in the US
context
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
1 Introduction 3 Taxonomy of ethics principles
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Introduction Computers, Autonomy and Accountability AI Workplace Health and Safety Framework References
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
2 Large Language Models 5 Falsification and Evaluation 7 Runtime Monitor Reference
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
1 Introduction 2 Results 3 Discussion 5 Supplementary material References
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Case study
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
1 Introduction 3 Emergence of Creative AI Tools and Game-Based Methodologies 4 Enhancing User Experience through Creative AI Tools 7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques 10 Privacy Concerns in Interactive Web-Based Programming for Education 12 The Future Landscape: Creative AI Tools and Game-Based
Methodologies in Education
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
2 Related Work on Data Excellence 3 Reliability and Reproducibility Metrics for
Responsible Data Collection 4 Published Annotation Tasks and Datasets 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 II. Methods and training process of LLMs 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
10 Supplemental & additional details
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
2 Related works 3 Theory and method 4 Experiment References
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
2 Key AI technology in financial services 4 Threaths & potential pitfalls 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
2 Black box and lack of transparency 3 Bias and fairness 4 Human-centric AI 5 Ethical concerns and value alignment References