Why_this_webapp Bibliography

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

Chapter 3 Technical AI Ethics

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

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

2. Defining ethical AI
3. Implementing ethical AI

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

4 A Clearer Account of Research Priorities and Disagreements

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

4 Proposed competency framework for responsible AI practitioners

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

Results
Discussion

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

II. Underlying Aspects
III. Interactions between Aspects

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

1. Introductioon

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

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
5 Crowdsourced safety mechanism

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

Responsibility in War
Computers, Autonomy and Accountability

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

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

4 Discussion
6 Final ethical considerations

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

5 Results

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

5 Challenges
6 Regulation of AI and regulating through AI

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

2 Black box and lack of transparency