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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: mitigating

Selected tag: mitigating

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


Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site
References


AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
5 Discussion
References


ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
1 Introduction
3 The ESR Process
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
References


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


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


QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
Abstract
1 Introduction
3 Evaluation


The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
5. Directions for Future Research & Governance


Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
2 Background


Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
3 Taxonomy of ethics principles


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


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


Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
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
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
IV. Applied and technology implications for LLMs
VII. Discussions
References


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


Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
References


The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Executive summary


Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
3 Bias and fairness
6 Way forward
7 Conclusion