Why_this_webapp Bibliography

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

Chapter 1 Reseach and Development
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

2 Background
3 Methodology
4 Findings

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

5 Detail results and analysis

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

4 Results

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

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

Abstract
Recommendations and Conclusion

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

4 Deployment and Evaluation

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 2: History and prospective
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

3 Methodology
4 Proposed competency framework for responsible AI practitioners
5 Discussion

GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site

Abstract
Introduction

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

3. Results
4. Discussion and conclusion

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

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

Generation-related
Bias and Discrimination of Training Data

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

3 Taxonomy of ethics principles

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

Computers, Autonomy and Accountability
AI Workplace Health and Safety Framework

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
5 Falsification and Evaluation
6 Verification
7 Runtime Monitor
8 Regulations and Ethical Use

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

4 Discussion

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

5 Results
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

II. Methods and training process of LLMs
Appendix A industry-wide LLM usecases

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

4 Experiment

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

3 Bias and fairness
4 Human-centric AI
5 Ethical concerns and value alignment
7 Conclusion