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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 1 Reseach and Development Chapter 2 Technical Performance Appendix
Exciting, Useful, Worrying, Futuristic:
Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site
3 Methodology References
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
5 Detail results and analysis References
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
1Introduction References
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 6 Gap Mitigation
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
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
2 Related Work 3 Methodology 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 Recommendations and Conclusion References
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
1 Introduction 3 The ESR Process 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 4 Conclusions & Outlook
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
Abstract 1 Introduction 2 Background 3 Methodology 4 Proposed competency framework for responsible AI practitioners 5 Discussion Acknowledgments Appendix A supplementary material
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Materials and Methods
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
1. Introductioon 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
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
References
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Identifying Ethical Concerns and Risks References
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
4 Centralized regulation in the US
context 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
Introduction 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
3 Vulnerabilities, Attack, and Limitations 5 Falsification and Evaluation Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
Abstract
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
1 Introduction 2 Results 3 Discussion References
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
2 Related works 3 Targeted data augmentation
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 14 Conclusion & Discussion
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
1 Introduction References
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
VI. Solution architecture for privacy-aware and trustworthy conversational AI
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
7 Violet teaming to address dual-use risks of AI in biotechnology References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
4 Results and discussion
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index 1 Introduction 2 Key AI technology in financial services 4 Threaths & potential pitfalls 5 Challenges 6 Regulation of AI and regulating through AI References
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
1 Introduction 4 Human-centric AI 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
3. ChatGPT Training Process 6. Conclusion References