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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: detecting

Selected tag: detecting

The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Chapter 2 Technical Performance
Chapter 3 Technical AI Ethics
Appendix


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


GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Introduction
References


Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Generation-related


Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Responsibility in War


A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
7 Runtime Monitor
Reference


Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
1 Introduction


Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
1 Introduction


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
Appendix A industry-wide LLM usecases


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
References


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