Why_this_webapp Bibliography

The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site

Chapter 1 Reseach and Development
Chapter 2 Technical Performance
Chapter 3 Technical AI Ethics
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

1 Introduction
3 Methodology
4 Findings
5 Discussion
6 Conclusions
References
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
References

AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site

1Introduction
2 Related Work
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

1 Introduction
3 Study Methodology
5 Evaluation of Ethical Principle Implementations

A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site

1. Problems with AI
2. Defining ethical AI
Conclusion

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
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

1 Introduction
2 The Near-Long
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

Abstract
1 Introduction
2 Related Work
3 The ESR Process
4 Deployment and Evaluation
References

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

A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site

Section 2: History and prospective
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

3 Methodology
4 Proposed competency framework for responsible AI practitioners
5 Discussion
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
II. Underlying Aspects
III. Interactions between Aspects

QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site

1 Introduction
2 The Question Bank: QB4AIRA

A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site

Abstract
1. Introductioon
3. International and National Governance
7. Propensity to Trust
8. Ethics and Trust Lenses in the Multilevel Framework
9. Virtue Ethics
10. Conclusion

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
4. Discussion and conclusion

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

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

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

Bias and Discrimination of Training Data

Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site

4 Centralized regulation in the US context

Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site

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

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site

3 Vulnerabilities, Attack, and Limitations
6 Verification
7 Runtime Monitor

Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site

3 LLM-based penetration testing

Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site

1 Introduction
2 Results
4 Conclusions
5 Supplementary material
References

Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site

2 Related works
References

Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site

5 Engaging Web-Based Programming with Game-Based Approaches
11 Bias Awareness: Navigating AI-Generated Content in Education
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

VI. Solution architecture for privacy-aware and trustworthy conversational AI
References

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

Abstract
1 Introduction
2 Related works
3 Theory and method
4 Experiment

The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site

1 Introduction
2 Key AI technology in financial services
3 Benefits of AI use in the finance sector

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site

3 Bias and fairness
4 Human-centric AI
5 Ethical concerns and value alignment
6 Way forward

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

2. Related work