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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: mitigate

Selected tag: mitigate

The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Report highlights
Chapter 3 Technical AI Ethics
Chapter 4 The Economy and Education


AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
1Introduction
6 Conclusion


The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
Abstract
1 Introduction
3 Study Methodology
5 Evaluation of Ethical Principle Implementations
6 Gap Mitigation
8 Conclusion


A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Executive summary
3. Implementing ethical AI
Conclusion


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


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
A Appendix: Interview Protocol


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


A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 4: Considerations and conclusions


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


QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
4 Conclusion


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
4. Corporate Self-Governance


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
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
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
Introduction
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
Introduction


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


Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
3 Taxonomy of ethics principles
5 Gaps in operationalising ethical principles
A Methodology


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


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


Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
7 Navigating Constraints: Limitations of Creative AI and GameBased Techniques
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
2 Related Work on Data Excellence
6 Discussion


The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
7 Violet teaming to address dual-use risks of AI in biotechnology
8 Macrostrategy for responsible technology trajectories


The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
1 Introduction
4 Threaths & potential pitfalls
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
1 Introduction
3 Bias and fairness
6 Way forward