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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: guidelines
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
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Applications in Military Versus Healthcare Identifying Ethical Concerns and Risks GREAT PLEA Ethical Principles for Generative AI in
Healthcare
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Perturbation
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
2 Background 6 The dual governance framework
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
1 Introduction 2 Methodology References A Methodology
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
3 Vulnerabilities, Attack, and Limitations Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
References
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
1 Introduction 2 Results 3 Discussion References
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
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
1 Introduction 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
IV. Applied and technology implications for LLMs V. Market analysis of LLMs and cross-industry use cases 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
References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
References
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
3 Theory and method
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Executive summary 3 Benefits of AI use in the finance sector
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
1 Introduction 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
Abstract 2. Related work 3. ChatGPT Training Process 6. Conclusion References