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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: testing

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The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Appendix


AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
4 Results


The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
5 Evaluation of Ethical Principle Implementations


Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
5 Discussion


ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
2 Related Work
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


What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
4 Proposed competency framework for responsible AI practitioners
Appendix A supplementary material


Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
III. Interactions between Aspects


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


From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
GREAT PLEA Ethical Principles for Generative AI in Healthcare


Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
6 The dual governance framework


A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
5 Falsification and Evaluation
8 Regulations and Ethical Use
Reference


Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
Abstract
Keywords
1 Introduction
2 Background
3 LLM-based penetration testing
4 Discussion
6 Final ethical considerations


Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
1 Introduction
2 Related works
4 Experiments
5 Conclusions


Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
1 Introduction


The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
4 Integrating red teaming, blue teaming, and ethics with violet teaming
10 Supplemental & additional details


The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index
2 Key AI technology in financial services
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
6 Way forward


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
References