Why_this_webapp Bibliography

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

Report highlights
Chapter 2 Technical Performance
Chapter 3 Technical AI Ethics
Appendix

Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site

3 Methodology

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

1 Introduction
5 Detail results and analysis

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

6 Conclusion

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

References

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

2. Defining ethical AI

Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site

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

2 The Near-Long

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

References

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

3. International and National Governance
4. Corporate Self-Governance

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

4 Conclusion

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

Applications in Military Versus Healthcare

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

2 Background

The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site

Abstract

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

6 Verification
Reference

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

5 Conclusions

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

Abstract
13 Case Study Example: Learning Success with Creative AI and Game-Based Techniques

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

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

Abstract
I. Introduction
VII. Discussions

The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site

3 Emerging dual-use risks and vulnerabilities in AI systems
10 Supplemental & additional details

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

5 Challenges

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

Abstract
3 Bias and fairness
4 Human-centric AI
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
6. Conclusion