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You are now here: AI Ethics Primer - search within the bibliography - version 0.3 of 2023-08-13
> (tag cloud) >tag_selected: ethics
Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
Abstract 1 Introduction 2 Background 3 Research Method 4 Reporting the review 5 Detail results and analysis 7 Conclusions and future directions References 9 Appendices
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
Abstract 1Introduction 2 Related Work 3 Method 4 Results 5 Discussion 6 Conclusion References
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
Abstract 1 Introduction 2 Related Work 3 Study Methodology 5 Evaluation of Ethical Principle Implementations 6 Gap Mitigation 8 Conclusion References
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Introductionn 2. Defining ethical AI 3. Implementing ethical AI
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
1 Introduction 2 Related Work 3 Methodology 4 Results 5 Discussion References
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
Abstract Keywords 1 Introduction References
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
Abstract 1 Introduction 2 Related Work 3 The ESR Process 4 Deployment and Evaluation 5 Discussion 6 Conclusion 7 Acknowledgments 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
Abstract 1 Introduction 2 The Need forEthical AI in Finance 3 Practical Challengesof Ethical AI 4 Conclusions & Outlook 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 Section 3: Current trends 2020-2023 Section 4: Considerations and conclusions Appendix A: Bibliographical references Appendix B: Data and charts from arXiv
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 References Appendix A supplementary material
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
Abstract I. Introduction II. Underlying Aspects IV. Concluding Remarks References
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
Abstract 1. Introductioon 2. A Multilevel Approach to AI Governance for Trust-Enhancing Practices 3. International and National Governance 4. Corporate Self-Governance 8. Ethics and Trust Lenses in the Multilevel Framework 9. Virtue Ethics 10. Conclusion 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
Abstract 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
Abstract 1. Introduction 2. Value Chains 3. AI Value Chains 4. Ethical Implications of AI Value Chains 5. Directions for Future Research & Governance References
Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / on (web) Publishing site
Abstract References
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
Abstract 4 Conclusion
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
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
2 Background 4 Centralized regulation in the US
context
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 References A Methodology
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Abstract AI Workplace Health and Safety Framework References
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
Abstract 4 Discussion
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
1 Introduction 3 Discussion References
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
References
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Abstract Reflections
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 4 Enhancing User Experience through Creative AI Tools 11 Bias Awareness: Navigating AI-Generated Content in Education
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
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
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
Abstract 3 Emerging dual-use risks and vulnerabilities in AI systems 5 Research directions in AI safety and violet teaming 6 A pathway for balanced AI innovation 8 Macrostrategy for responsible technology trajectories 9 The path forward 10 Supplemental & additional details References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
2 Literature review References
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 3 Theory and method 4 Experiment References Ethical statement A Details of datasets B Experimental details
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
7 Recommendations References
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
Abstract 1 Introduction 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