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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 3 Technical AI Ethics Chapter 4 The Economy and Education Chapter 5 AI Policy and Governance Appendix
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
2 Background 3 Research Method 5 Detail results and analysis
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
1Introduction
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
3 Study Methodology 4 Evaluation of Ethical AI Principles 5 Evaluation of Ethical Principle Implementations References
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Introductionn 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
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
References
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
1 Introduction 2 Related Work 4 Deployment and Evaluation 5 Discussion References
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
1 Introduction 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 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
1 Introduction 2 Background 3 Methodology 5 Discussion Appendix A supplementary material
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Introduction Discussion
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
I. Introduction III. Interactions between Aspects IV. Concluding Remarks
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
Abstract 1 Introduction 2 The Question Bank: QB4AIRA 4 Conclusion
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
1. Introductioon 4. Corporate Self-Governance
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
Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / on (web) Publishing site
Introduction Literature Review
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
1 Introduction 2 Clarifying Terminologies of Article-5: Insights from Behavioral Economics and Psychology
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Abstract Introduction GREAT PLEA Ethical Principles for Generative AI in
Healthcare References
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Introduction Hallucination Conclusion
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 4 Centralized regulation in the US
context 7 Limitations 8 Conclusion
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
1 Introduction 2 Methodology 3 Taxonomy of ethics principles 4 Previous operationalisation of ethical principles 5 Gaps in operationalising ethical principles 6 Conclusion A Methodology
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
1 Introduction 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
3 LLM-based penetration testing
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
Abstract 1 Introduction 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
2 Advancements in AI and Web-Based Programming 7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques 8 Real-World Applications: Showcasing Innovative
Implementations 11 Bias Awareness: Navigating AI-Generated Content in Education 14 Conclusion & Discussion
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 6 Discussion 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
I. Introduction II. Methods and training process of LLMs IV. Applied and technology implications for LLMs V. Market analysis of LLMs and cross-industry use cases VI. Solution architecture for privacy-aware and trustworthy conversational AI VII. Discussions VIII. Conclusion Appendix A industry-wide LLM usecases
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
Abstract 1 Introduction 4 Integrating red teaming, blue teaming, and ethics with violet teaming 7 Violet teaming to address dual-use risks of AI in biotechnology
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
1 Introduction 2 Related works
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Executive summary 1 Introduction 4 Threaths & potential pitfalls 5 Challenges 6 Regulation of AI and regulating through AI 7 Recommendations
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
1 Introduction 2 Black box and lack of transparency 3 Bias and fairness 4 Human-centric AI 5 Ethical concerns and value alignment 6 Way forward 7 Conclusion
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
1. Introduction 2. Related work 3. ChatGPT Training Process 6. Conclusion References