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
Chapter 4 The Economy and Education
Chapter 5 AI Policy and Governance
Appendix

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

3 Methodology
4 Findings

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

1 Introduction

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

1Introduction
2 Related Work

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

1 Introduction
4 Evaluation of Ethical AI Principles
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

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

2 Related Work

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site

1 Introduction
2 The Near-Long

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

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

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

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

Section 1: Introduction and concept
Section 2: History and prospective
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

1 Introduction
2 Background
3 Methodology
4 Proposed competency framework for responsible AI practitioners
Appendix A supplementary material

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

Abstract
I. Introduction
II. Underlying Aspects
III. Interactions between Aspects
IV. Concluding Remarks

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

1 Introduction
3 Evaluation
4 Conclusion

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

1. Introductioon
3. International and National Governance
4. Corporate Self-Governance
5. AI Literacy and Governance by Citizen
6. Psychology of Trust
8. Ethics and Trust Lenses in the Multilevel Framework

From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts / 2307.15452 / on (web) Publishing site

1. Introduction
3. Results
4. Discussion and conclusion
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

3. AI Value Chains
4. Ethical Implications of AI Value Chains

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

Abstract
Results

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

1 Introduction
3 Enhancing Protection for the General Public and Vulnerable Groups
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

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

Hallucination

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

1 Introduction
2 Background
4 Centralized regulation in the US context
6 The dual governance framework
7 Limitations

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

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

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

Abstract
Introduction
Computers, Autonomy and Accountability
Moral Injury
Human Factors
AI Workplace Health and Safety Framework

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

1 Introduction
2 Large Language Models
3 Vulnerabilities, Attack, and Limitations
5 Falsification and Evaluation
6 Verification
7 Runtime Monitor
8 Regulations and Ethical Use
9 Discussions

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

3 LLM-based penetration testing
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

1 Introduction
2 Results
3 Discussion

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

1 Introduction

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

1 Introduction
4 Published Annotation Tasks and Datasets
6 Discussion

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
V. Market analysis of LLMs and cross-industry use cases
VI. Solution architecture for privacy-aware and trustworthy conversational AI
VII. Discussions

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

1 Introduction
2 The evolution of artificial intelligence: from theory to general capabilities
3 Emerging dual-use risks and vulnerabilities in AI systems
4 Integrating red teaming, blue teaming, and ethics with violet teaming
7 Violet teaming to address dual-use risks of AI in biotechnology
10 Supplemental & additional details

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

4 Results and discussion

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

1 Introduction
2 Related works
3 Theory and method
4 Experiment

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
5 Challenges
6 Regulation of AI and regulating through AI
7 Recommendations

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
5 Ethical concerns and value alignment
6 Way forward

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