Why_this_webapp Bibliography

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

Chapter 2 Technical Performance
Chapter 3 Technical AI Ethics
Appendix

Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site

References

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site

5 Evaluation of Ethical Principle Implementations

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

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
References

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

III. Interactions between Aspects

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

2 The Question Bank: QB4AIRA

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

2 Clarifying Terminologies of Article-5: Insights from Behavioral Economics and Psychology

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

What is Generative Artificial Intelligence?

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

1 Introduction
4 Previous operationalisation of ethical principles
6 Conclusion
References

Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site

Computers, Autonomy and Accountability

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
Acknowledgments

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

4 Experiments
5 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

Abstract
I. Introduction
II. Methods and training process of LLMs
VI. Solution architecture for privacy-aware and trustworthy conversational AI
VII. Discussions
VIII. Conclusion

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
7 Violet teaming to address dual-use risks of AI in biotechnology
10 Supplemental & additional details

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

3 Benefits of AI use in the finance sector
5 Challenges

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

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

3. ChatGPT Training Process
References