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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
4 Reporting the review 5 Detail results and analysis
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
1Introduction 3 Method 4 Results 5 Discussion
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
1 Introduction 3 Study Methodology 4 Evaluation of Ethical AI Principles 5 Evaluation of Ethical Principle Implementations 8 Conclusion
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 4 Results 5 Discussion 6 Conclusion
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 3 The Problem with the Near/Long-Term Distinction 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 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
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
What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
3 Methodology 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
Results Discussion
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
II. Underlying Aspects
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
3 Evaluation
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 2. Method 3. Results
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 Results
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Introduction What is Generative Artificial Intelligence? Identifying Ethical Concerns and Risks GREAT PLEA Ethical Principles for Generative AI in
Healthcare References
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
3 Taxonomy of ethics principles 5 Gaps in operationalising ethical principles
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
2 Large Language Models 3 Vulnerabilities, Attack, and Limitations 5 Falsification and Evaluation 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
1 Introduction 3 LLM-based penetration testing 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
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
1 Introduction 2 Related works 3 Targeted data augmentation 4 Experiments 5 Conclusions
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
3 Emergence of Creative AI Tools and Game-Based Methodologies 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
Abstract 1 Introduction 2 Related Work on Data Excellence 3 Reliability and Reproducibility Metrics for
Responsible Data Collection 4 Published Annotation Tasks and Datasets 5 Results 6 Discussion B Variability Analysis C Power analysis
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
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
5 Conclusion
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
Abstract 1 Introduction 2 Related works 3 Theory and method 4 Experiment 5 Conclusion References Ethical statement B Experimental details
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
3 Benefits of AI use in the finance sector 6 Regulation of AI and regulating through AI
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
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
2. Related work 3. ChatGPT Training Process 4. Methods 6. Conclusion References