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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 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
3 Methodology 4 Findings A Questionnaire - Selected Questions
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
3 Research Method 5 Detail results and analysis
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
3 Method 4 Results
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
3 Study Methodology 4 Evaluation of Ethical AI Principles 5 Evaluation of Ethical Principle Implementations 6 Gap Mitigation 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
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
3 Methodology 4 Results References
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
3 The Problem with the Near/Long-Term Distinction 4 A Clearer Account of Research Priorities and Disagreements
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
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
3 Practical Challengesof Ethical AI References
A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 1: Introduction and concept Section 2: History and prospective
What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
3 Methodology 4 Proposed competency framework for responsible AI practitioners References Appendix A supplementary material
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Introduction Discussion
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
Abstract I. Introduction III. Interactions between Aspects IV. Concluding Remarks 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
4. Corporate Self-Governance 6. Psychology of Trust 8. Ethics and Trust Lenses in the Multilevel Framework
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
2. Method 3. Results
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
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
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 References
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Abstract Introduction 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 / on (web) Publishing site
Introduction
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
1 Introduction 2 Background 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 / on (web) Publishing site
2 Methodology 3 Taxonomy of ethics principles 4 Previous operationalisation of ethical principles 5 Gaps in operationalising ethical principles 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 Moral Injury Human Factors AI Workplace Health and Safety Framework Discussion References
The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
3 Discussion
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
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 Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
2 Background 3 LLM-based penetration testing 4 Discussion 5 A vision of AI-augmented pen-testing References
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
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
5 Conclusions References
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques 11 Bias Awareness: Navigating AI-Generated Content in Education 12 The Future Landscape: Creative AI Tools and Game-Based
Methodologies in Education 14 Conclusion & Discussion
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 5 Results 6 Discussion References A Agreement Analysis B Variability Analysis D Stability analysis
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
V. Market analysis of LLMs and cross-industry use cases VI. Solution architecture for privacy-aware and trustworthy conversational AI 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
2 The evolution of artificial intelligence: from theory to general capabilities 5 Research directions in AI safety and violet teaming 6 A pathway for balanced AI innovation 10 Supplemental & additional details
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
4 Results and discussion
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
3 Theory and method 4 Experiment A Details of datasets B Experimental details
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index Executive summary 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 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 References