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

1 Introduction
2 Background
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

1 Introduction
2 Background
5 Detail results and analysis
6 Threats to validity
References
9 Appendices

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
6 Gap Mitigation
8 Conclusion
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
Conclusion

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

Abstract
1 Introduction
2 Related Work
3 Methodology
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

2 The Near-Long
3 The Problem with the Near/Long-Term Distinction
4 A Clearer Account of Research Priorities and Disagreements
References

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

Abstract
1 Introduction
3 The ESR Process
4 Deployment and Evaluation
5 Discussion
A Appendix: Interview Protocol
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

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

Section 3: Current trends 2020-2023
Section 4: Considerations and conclusions

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

Abstract
2 Background
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

Discussion

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

I. Introduction
IV. Concluding Remarks
References

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

3 Evaluation
4 Conclusion

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

2. A Multilevel Approach to AI Governance for Trust-Enhancing Practices
3. International and National Governance
4. Corporate Self-Governance
5. AI Literacy and Governance by Citizen
8. Ethics and Trust Lenses in the Multilevel Framework
References

The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site

Abstract
1. Introduction
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

Literature Review
Conclusion
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

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
Applications in Military Versus Healthcare
GREAT PLEA Ethical Principles for Generative AI in Healthcare
References

Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site

Image-related

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

6 The dual governance framework
7 Limitations

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

1 Introduction
2 Methodology
3 Taxonomy of ethics principles
4 Previous operationalisation of ethical principles
5 Gaps in operationalising ethical principles
6 Conclusion
References
A Methodology

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

Computers, Autonomy and Accountability
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

Abstract
1 Introduction
2 Results
3 Discussion
4 Limitations

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

2 Large Language Models
7 Runtime Monitor
9 Discussions
Reference

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

1 Introduction
5 A vision of AI-augmented pen-testing

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

Abstract
1 Introduction
3 Discussion
4 Conclusions
References

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

Abstract

AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site

Abstract

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

Abstract
1 Introduction
2 Advancements in AI and Web-Based Programming
8 Real-World Applications: Showcasing Innovative Implementations
11 Bias Awareness: Navigating AI-Generated Content in Education
13 Case Study Example: Learning Success with Creative AI and Game-Based Techniques
14 Conclusion & Discussion
References

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

6 Discussion
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

I. Introduction
VII. Discussions
VIII. Conclusion

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

4 Integrating red teaming, blue teaming, and ethics with violet teaming
5 Research directions in AI safety and violet teaming
6 A pathway for balanced AI innovation
8 Macrostrategy for responsible technology trajectories
10 Supplemental & additional details
References

Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site

4 Results and discussion
References

Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site

5 Conclusion
References

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

1 Introduction
4 Threaths & potential pitfalls
6 Regulation of AI and regulating through AI
References

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

1 Introduction
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

3. ChatGPT Training Process
5. Discussion
6. Conclusion
References