Why_this_webapp Bibliography

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

Chapter 2 Technical Performance
Chapter 4 The Economy and Education
Appendix

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

2 Related Work

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
5 Evaluation of Ethical Principle Implementations
6 Gap Mitigation
8 Conclusion

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

3. Implementing 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
6 Conclusion
References

ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site

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

2 The Need forEthical AI in Finance
3 Practical Challengesof Ethical AI

What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site

5 Discussion

GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site

Results
Discussion
References

Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site

I. Introduction

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

3. International and National Governance
8. Ethics and Trust Lenses in the Multilevel Framework

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

3 Enhancing Protection for the General Public and Vulnerable Groups
References

From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site

Identifying Ethical Concerns and Risks

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

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
7 Runtime Monitor

Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site

Abstract
5 Results
6 Discussion
7 Conclusions

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

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

References

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
6 Way forward
7 Conclusion
References