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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
Report highlights Chapter 1 Reseach and Development 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
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
Abstract 7 Conclusions and future directions
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
Abstract 1 Introduction 5 Evaluation of Ethical Principle Implementations
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Introductionn 2. Defining ethical AI 3. Implementing ethical AI Conclusion
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
Abstract 2 Related Work 4 Results 5 Discussion
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
Abstract 1 Introduction 4 A Clearer Account of Research Priorities and Disagreements
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
3 The ESR Process A Appendix: Interview Protocol References
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
Abstract 1 Introduction 2 The Need forEthical AI in Finance 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 Appendix A: Bibliographical references
What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
Appendix A supplementary material
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
1 Introduction
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
3 Enhancing Protection for the General Public and Vulnerable Groups
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
References
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
6 The dual governance framework
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
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
8 Regulations and Ethical Use
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
4 Discussion
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
1 Introduction 3 Discussion
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
2 Related works
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Introduction
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
Abstract References
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
4 Published Annotation Tasks and Datasets 5 Results
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
III. Comprehensive review of state-of-the-art LLMs
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
References
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site