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

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

3 Methodology
5 Discussion
References

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

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

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

Abstract
1Introduction
2 Related Work
4 Results
5 Discussion
6 Conclusion
References

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
References

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

Introductionn
2. Defining ethical AI
3. Implementing ethical AI

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

Abstract
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

3 The Problem with the Near/Long-Term Distinction
References

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

2 Related Work
5 Discussion
References

On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site

Abstract
3 Practical Challengesof Ethical AI
4 Conclusions & Outlook
References

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

Section 2: History and prospective
Section 3: Current trends 2020-2023
Appendix A: Bibliographical references

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

5 Discussion
References
Appendix A supplementary material

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

References

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

Abstract
1 Introduction
4 Conclusion
References

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

Abstract
1. Introductioon
2. A Multilevel Approach to AI Governance for Trust-Enhancing Practices
4. Corporate Self-Governance
9. Virtue Ethics
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

1. Introduction
References

Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / on (web) Publishing site

Literature Review

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
4 Conclusion

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
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

Abstract
Perturbation
References

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

2 Background
3 Policy scope
6 The dual governance framework

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
References
A Methodology

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

AI Workplace Health and Safety Framework
References

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

2 Results
5 Methods

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
5 Falsification and Evaluation
8 Regulations and Ethical Use
Reference

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

4 Discussion
References

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

1 Introduction
2 Results
3 Discussion
References

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

Reflections

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
14 Conclusion & Discussion

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

Abstract
1 Introduction
2 Related Work on Data Excellence
3 Reliability and Reproducibility Metrics for Responsible Data Collection
6 Discussion
7 Conclusions
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

II. Methods and training process of LLMs
IV. Applied and technology implications for LLMs
V. Market analysis of LLMs and cross-industry use cases
VI. Solution architecture for privacy-aware and trustworthy conversational AI
References
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
References

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

3 Methods
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

Abstract
1 Introduction
3 Theory and method
4 Experiment
5 Conclusion
Ethical statement
A Details of datasets
B Experimental details

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

Executive summary
2 Key AI technology in financial services
3 Benefits of AI use in the finance sector
References

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

1 Introduction
4 Human-centric AI
5 Ethical concerns and value alignment
6 Way forward
7 Conclusion
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

Abstract
2. Related work
3. ChatGPT Training Process
6. Conclusion
References