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You are now here: AI Ethics Primer - search within the bibliography - version 0.3 of 2023-08-13
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The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Chapter 2 Technical Performance Appendix
Exciting, Useful, Worrying, Futuristic:
Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site
4 Findings
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
5 Detail results and analysis
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
1. Problems with AI 2. Defining ethical AI
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
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 5 Discussion
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
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
2. Value Chains 5. Directions for Future Research & Governance
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Identifying Ethical Concerns and Risks
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
The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
2 Results
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 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
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
2 Results 3 Discussion
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Case study
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
2 Advancements in AI and Web-Based Programming
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 5 Results 6 Discussion
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
2 Related works
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
2 Black box and lack of transparency 3 Bias and fairness