{"total":14,"rows":[{"id":"2304.12845","title":"(Local) Differential Privacy has NO Disparate Impact on Fairness","created":"2023-04-25","cited_by_count":5,"area":null},{"id":"2503.04739","title":"A Framework for Responsible AI Systems: Building Societal Trust through Domain Definition, Trustworthy AI Design, Auditability, Accountability, and Governance","created":"2025-02-04","cited_by_count":5,"area":null},{"id":"2311.11491","title":"On the Relationship Between Interpretability and Explainability in Machine Learning","created":"2023-11-20","cited_by_count":3,"area":null},{"id":"2504.07516","title":"Enhancements for Developing a Comprehensive AI Fairness Assessment Standard","created":"2025-04-10","cited_by_count":3,"area":null},{"id":"2409.07473","title":"Ethical AI Governance: Methods for Evaluating Trustworthy AI","created":"2024-08-28","cited_by_count":2,"area":null},{"id":"2509.11332","title":"A five-layer framework for AI governance: integrating regulation, standards, and certification","created":"2025-09-14","cited_by_count":2,"area":null},{"id":"2212.11207","title":"A Seven-Layer Model for Standardising AI Fairness Assessment","created":"2022-12-21","cited_by_count":1,"area":null},{"id":"2506.10586","title":"Size-adaptive Hypothesis Testing for Fairness","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2510.01281","title":"An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness","created":"2025-09-30","cited_by_count":1,"area":null},{"id":"2603.26865","title":"A federated architecture for sector-led AI governance: lessons from India","created":"2026-03-27","cited_by_count":1,"area":null},{"id":"2510.23669","title":"What Work is AI Actually Doing? Uncovering the Drivers of Generative AI Adoption","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2512.15791","title":"Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2601.16926","title":"Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2605.25228","title":"A Blended Likelihood Approach for Achieving Fairness Using Naive Bayes","created":"2026-05-24","cited_by_count":0,"area":null}],"next_cursor":null}