Group Fairness

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Overview

Group fairness asks whether people in different demographic or other defined groups receive comparable predictions, errors, opportunities, or resources. Common approaches set targets such as demographic parity or equalized odds, then intervene through data preprocessing, training-time constraints, or post-processing; distributionally robust learning and privacy-aware methods address shifting or distributed data. The ideas also apply to clustering, graphs, rankings, recommendations, and resource allocation, where representation and exposure matter alongside prediction accuracy. A central tension is that fairness metrics can disagree, and improving one measure may reduce utility or shift harms, especially for small or intersecting subgroups.

Latest papers

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140 papers15 papers in the last four weeks, up 50% on the four weeks before. 0.1% of all new papers.

  1. k-hop Fairness: Addressing Disparities in Graph Link Prediction Beyond First-Order Neighborhoods

    Mar 4, 2026Lilian Marey, Tiphaine Viard, Charlotte LaclauLink PredictionAlgorithmic Fairness

    LTCI, T´el´ecom Paris - Deezer Research · i3, T´el´ecom Paris · LTCI, T´el´ecom Paris

  2. Fair Model-based Clustering

    Feb 25, 2026Jinwon Park, Kunwoong Kim, Jihu Lee +1ClusteringGroup Fairness

    Graduate School of Data Science, Seoul National University · Department of Statistics, Seoul National University

  3. Federated Measurement of Demographic Disparities from Quantile Sketches

    Feb 21, 2026Arthur Charpentier, Agathe Fernandes Machado, Olivier Côté +1Group FairnessFederated Learning

    UQAM, Montréal, Canada · Kyoto University, Japan · Université Laval, Québec, Canada +2

  4. Fairness Dynamics in Digital Economy Platforms with Biased Ratings

    Feb 18, 2026J. Martin Smit, Fernando P. SantosFairness in Recommender SystemsAlgorithmic Fairness

    University of Amsterdam, Amsterdam, Netherlands

  5. On the Hardness of Approximation of the Fair k-Center Problem

    Feb 18, 2026Suhas ThejaswiApproximation AlgorithmsClustering

    Department of Computer Science, Aalto University, Finland

  6. FairRARI: A Plug and Play Framework for Fairness-Aware PageRank

    Feb 9, 2026Emmanouil Kariotakis, Aritra KonarAlgorithmic FairnessGroup Fairness

    Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium.

  7. Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease

    Dec 19, 2025Carter H. Nakamoto, Lucia Lushi Chen, Agata Foryciarz +1Group FairnessAlgorithmic Fairness

    Department of Health Policy, Stanford University, 615 Crothers Way Encina Commons MC6019 Stanford, CA 94305, USA · Psyfy Inc. · Department of Epidemiology and Population Health, Stanford University +1

  8. FairLRF: Achieving Fairness through Sparse Low Rank Factorization

    Nov 20, 2025Yuanbo Guo, Jun Xia, Yiyu ShiAlgorithmic FairnessGroup Fairness

    University of Notre Dame Notre Dame, Indiana, USA

  9. Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity

    Oct 4, 2025Lutz Oettershagen, Othon MichailFair Resource AllocationCombinatorial Optimization

    University of Liverpool

  10. Unbiased Binning for Fairness-aware Attribute Representation

    Sep 26, 2025Abolfazl Asudeh, Zeinab Asoodeh, Bita Asoodeh +1Dynamic ProgrammingAlgorithmic Fairness

    University of Illinois Chicago · Independent Researcher · University of Edinburgh +1

  11. The Statistical Fairness-Accuracy Frontier

    Aug 25, 2025Alireza Fallah, Michael I. Jordan, Annie UlichneyAlgorithmic FairnessGroup Fairness

    Department of Computer Science and Ken Kennedy Institute, Rice University · Departments of Electrical Engineering and Computer Sciences and Statistics, University of California, Berkeley; Inria Paris · Department of Statistics, University of California, Berkeley

  12. Sequential Cohort Selection under Uncertainty

    Aug 22, 2025Hortence Yiepnou, Christos DimitrakakisSequential Decision MakingPolicy Optimization

    University of Neuch atel

  13. Minority Collective Action for User-Side Fairness

    Aug 21, 2025Omri Ben-Dov, Samira Samadi, Amartya Sanyal +1Algorithmic FairnessGroup Fairness

    Max Planck Institute for Intelligent Systems, Tübingen AI Center, Tübingen, Germany · Department of Computer Science, University of Copenhagen · ETH Zurich

  14. Private Rate-Constrained Optimization with Applications to Fair Learning

    May 28, 2025Mohammad Yaghini, Tudor Cebere, Michael Menart +2Primal-Dual OptimizationGroup Fairness

    University of Toronto · Vector Institute · PreMeDICaL team +3

  15. Targeted Learning for Inference on Data Fairness

    Feb 6, 2025Joseph H. Rudoler, Alexander Asemota, Giles HookerAlgorithmic FairnessGroup Fairness

    University of California Berkeley, USA · University of Pennsylvania, USA

  16. When fairness metrics fail: A utility-based perspective on ε\varepsilon-fairness

    May 15, 2024Tolulope Fadina, Thorsten SchmidtAlgorithmic FairnessGroup Fairness

    Actuarial Science and Risk Management, University of Illinois Urbana Champaign, Illinois, USA · Department of Mathematical Stochastics, University of Freiburg, Ermst-Zermelo Str. 2, 79104 Freiburg, Germany

  17. Measuring Model-Induced Discrimination via Efficient Fairness Approximation

    May 15, 2024Yijun Bian, Yujie LuoAlgorithmic FairnessGroup Fairness

    Department of Computer Science, University of Copenhagen, 2100 Copenhagen, Denmark · Department of Mathematics, National University of Singapore, Singapore 117543, Singapore

  18. A Distributionally Robust Optimisation Approach to Fair Credit Scoring

    Feb 2, 2024Pablo Casas, Huan Yu, Christophe MuesDistribution Shift RobustnessFinancial Services

    Southampton Business School, University of Southampton, Southampton, SO16 7QF, United Kingdom

  19. Proportionally Representative Clustering

    Apr 27, 2023Haris Aziz, Barton E. Lee, Sean Morota Chu +1ClusteringAlgorithmic Fairness

    UNSW Sydney · ETH Zürich · Northwestern University

  20. Equity Promotion in Online Resource Allocation

    Dec 8, 2021Pan Xu, Yifan XuSequential Decision MakingFair Resource Allocation

    Department of Computer Science, New Jersey Institute of Technology, Newark, USA · Key Lab of CNII, MOE, Southeast University, Nanjing, China