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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 Appendix
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
References
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
3 Study Methodology 5 Evaluation of Ethical Principle Implementations
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
1. Problems with AI
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
Abstract 3 Methodology
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
1 Introduction 2 Related Work 4 Deployment and Evaluation 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
3 Practical Challengesof Ethical AI References
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 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
2 Background 4 Proposed competency framework for responsible AI practitioners
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Results Discussion Materials and Methods
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
II. Underlying Aspects III. Interactions between Aspects 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
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
What is Generative Artificial Intelligence? References
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / 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
4 Centralized regulation in the US
context 5 Crowdsourced safety mechanism
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 9 Discussions 10 Conclusions Reference
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
Abstract 1 Introduction 2 Related works 3 Targeted data augmentation 4 Experiments 5 Conclusions References
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 11 Bias Awareness: Navigating AI-Generated Content in Education 12 The Future Landscape: Creative AI Tools and Game-Based
Methodologies in Education
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 7 Conclusions References A Agreement Analysis C Power analysis D Stability 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
I. Introduction II. Methods and training process of LLMs III. Comprehensive review of state-of-the-art LLMs V. Market analysis of LLMs and cross-industry use cases VI. Solution architecture for privacy-aware and trustworthy conversational AI 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
3 Emerging dual-use risks and vulnerabilities in AI systems 10 Supplemental & additional details
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
2 Literature review 4 Results and discussion
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
Abstract 1 Introduction 3 Theory and method 4 Experiment 5 Conclusion References A Details of datasets B Experimental details
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
2 Key AI technology in financial services 3 Benefits of AI use in the finance sector 5 Challenges 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
2 Black box and lack of transparency 3 Bias and fairness 4 Human-centric AI 5 Ethical concerns and value alignment
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 4. Methods 6. Conclusion References