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
A Questionnaire - Selected Questions

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

3 Research Method
5 Detail results and analysis

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

3 Method
4 Results

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

3 Study Methodology
4 Evaluation of Ethical AI Principles
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
1. Problems with AI
2. Defining ethical AI

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

3 Methodology
4 Results
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
4 A Clearer Account of Research Priorities and Disagreements

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

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 1: Introduction and concept
Section 2: History and prospective

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

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

Introduction
Discussion

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

Abstract
I. Introduction
III. Interactions between Aspects
IV. Concluding Remarks
References

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

2 The Question Bank: QB4AIRA

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

4. Corporate Self-Governance
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

2. Method
3. Results

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

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

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
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
Introduction
What is Generative Artificial Intelligence?
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

Introduction

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
5 Crowdsourced safety mechanism
6 The dual governance framework
7 Limitations
8 Conclusion

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
References
A Methodology

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

Introduction
Responsibility in War
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

3 Discussion

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
Reference

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

2 Background
3 LLM-based penetration testing
4 Discussion
5 A vision of AI-augmented pen-testing
References

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

1 Introduction
2 Results
3 Discussion
5 Supplementary material

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

5 Conclusions
References

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

7 Navigating Constraints: Limitations of Creative AI and GameBased Techniques
11 Bias Awareness: Navigating AI-Generated Content in Education
12 The Future Landscape: Creative AI Tools and Game-Based Methodologies in Education
14 Conclusion & Discussion

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

2 Related Work on Data Excellence
3 Reliability and Reproducibility Metrics for Responsible Data Collection
4 Published Annotation Tasks and Datasets
5 Results
6 Discussion
References
A Agreement Analysis
B Variability Analysis
D Stability analysis

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

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

2 The evolution of artificial intelligence: from theory to general capabilities
5 Research directions in AI safety and violet teaming
6 A pathway for balanced AI innovation
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

3 Theory and method
4 Experiment
A Details of datasets
B Experimental details

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

Table of contents and index
Executive summary
2 Key AI technology in financial services
3 Benefits of AI use in the finance sector
4 Threaths & potential pitfalls
5 Challenges
6 Regulation of AI and regulating through AI
7 Recommendations
References

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

1 Introduction
2 Black box and lack of transparency
3 Bias and fairness
4 Human-centric AI
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

1. Introduction
2. Related work
3. ChatGPT Training Process
4. Methods
References