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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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Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
1 Introduction 2 Background 7 Conclusions and future directions
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
Abstract 1Introduction 2 Related Work 4 Results
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
1 Introduction 5 Evaluation of Ethical Principle Implementations 6 Gap Mitigation 8 Conclusion
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Executive summary Introductionn 1. Problems with AI 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
1 Introduction 2 Related Work
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
1 Introduction 2 The Near-Long References
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
1 Introduction 2 Related Work 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 References
A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 3: Current trends 2020-2023
What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
1 Introduction 4 Proposed competency framework for responsible AI practitioners 5 Discussion
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Abstract Introduction Results Discussion References Materials and Methods
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
III. Interactions between Aspects
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
Abstract 2 The Question Bank: QB4AIRA 3 Evaluation 4 Conclusion
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
1. Introductioon 2. A Multilevel Approach to AI Governance for Trust-Enhancing Practices 3. International and National Governance 5. AI Literacy and Governance by Citizen 6. Psychology of Trust 8. Ethics and Trust Lenses in the Multilevel Framework References
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
2. Method 3. Results References
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
3. AI Value Chains 4. Ethical Implications of AI Value Chains 5. Directions for Future Research & Governance
Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / on (web) Publishing site
Abstract 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 3 Enhancing Protection for the General Public and Vulnerable Groups 4 Conclusion References
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Applications in Military Versus Healthcare GREAT PLEA Ethical Principles for Generative AI in
Healthcare Conclusion
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
System-role Perturbation 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 6 The dual governance framework
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
2 Methodology 3 Taxonomy of ethics principles 4 Previous operationalisation of ethical principles References A Methodology
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Abstract Introduction Responsibility in War Computers, Autonomy and Accountability Moral Injury Human Factors AI Workplace Health and Safety Framework References
The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
5 Methods
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
2 Large Language Models 3 Vulnerabilities, Attack, and Limitations 6 Verification 8 Regulations and Ethical Use Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
5 A vision of AI-augmented pen-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
2 Related works 3 Targeted data augmentation 4 Experiments 5 Conclusions References
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
5 Engaging Web-Based Programming with Game-Based Approaches 6 Unveiling the Potential: Benefits of Interactive Web-Based
Programming 7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques 8 Real-World Applications: Showcasing Innovative
Implementations 13 Case Study Example: Learning Success with Creative AI and
Game-Based Techniques
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
2 Related Work on Data Excellence 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
II. Methods and training process of LLMs 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
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
Abstract 1 Introduction 4 Experiment References
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Executive summary 1 Introduction 3 Benefits of AI use in the finance sector 4 Threaths & potential pitfalls 5 Challenges 6 Regulation of AI and regulating through AI 7 Recommendations References
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 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
1. Introduction 2. Related work 3. ChatGPT Training Process 4. Methods 6. Conclusion References