{"total":18,"rows":[{"id":"2306.09468","title":"FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods","created":"2023-06-15","cited_by_count":33,"area":null},{"id":"2305.09073","title":"Consensus and Subjectivity of Skin Tone Annotation for ML Fairness","created":"2023-05-16","cited_by_count":22,"area":null},{"id":"2305.06055","title":"A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems","created":"2023-05-10","cited_by_count":13,"area":null},{"id":"2310.05598","title":"On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model","created":"2023-10-09","cited_by_count":7,"area":null},{"id":"2310.15653","title":"Deceptive Fairness Attacks on Graphs via Meta Learning","created":"2023-10-24","cited_by_count":6,"area":null},{"id":"2301.05753","title":"Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities","created":"2023-01-13","cited_by_count":5,"area":null},{"id":"2304.09779","title":"Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness","created":"2023-04-19","cited_by_count":4,"area":null},{"id":"2206.02891","title":"A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs","created":"2022-06-06","cited_by_count":3,"area":null},{"id":"2206.02897","title":"Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics","created":"2022-06-06","cited_by_count":3,"area":null},{"id":"2406.16606","title":"Cherry on the Cake: Fairness is NOT an Optimization Problem","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2210.10456","title":"Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation","created":"2022-10-19","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":"2605.10604","title":"Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2405.11421","title":"Assessing Group Fairness with Social Welfare Optimization","created":"2024-05-19","cited_by_count":0,"area":null},{"id":"2410.15233","title":"A Semidefinite Relaxation Approach for Fair Graph Clustering","created":"2024-10-19","cited_by_count":0,"area":null},{"id":"2502.11031","title":"A Critical Review of Predominant Bias in Neural Networks","created":"2025-02-16","cited_by_count":0,"area":null},{"id":"2509.25481","title":"Fair Classification by Direct Intervention on Operating Characteristics","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2602.07285","title":"Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency","created":"2026-02-07","cited_by_count":0,"area":null}],"next_cursor":null}