Algorithmic Fairness

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29 papers in the last four weeks, up 71% on the four weeks before. 0.3% of all new papers.

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Fast and effective algorithms for fair clustering at scale
May 13, 2026Claudio Mantuano, Manuel Kammermann, Philipp BaumannClustering Algorithmic Fairness
Department of Business Administration, University of Bern, Engehaldenstrasse 4, 3012 Bern, Switzerland
RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare
May 13, 2026Rohith Reddy Bellibatlu, Manpreet Singh, Yash Jajoo +2Distribution Shift Robustness Healthcare
Florida International University, Miami, FL, USA. · Boston University, Boston, MA, USA. · New York University, New York, NY, USA. +2
Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions
May 12, 2026Gideon Popoola, John SheppardFeature Attribution Counterfactual Explanations
Gianforte School of Computing Montana State University Bozeman, MT, USA, 59715
Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning
May 12, 2026Rachael Hwee Ling Sim, Jue Fan, Xiao Tian +3Mechanism Design Algorithmic Fairness
Department of Computer Science, National University of Singapore, Singapore · Agency for Science, Technology and Research (A*STAR), Singapore · Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, USA
Causal Bias Detection in Generative Artificial Intelligence
May 12, 2026Drago PleckoAlgorithmic Fairness Language Model Bias Evaluation
Department of Statistics & Data Science UCLA
Causal Fairness for Survival Analysis
May 12, 2026Drago PleckoCausal Mediation Analysis Survival Analysis
Department of Statistics & Data Science UCLA
When to Ask a Question: Understanding Communication Strategies in Generative AI Tools
May 11, 2026Charlotte Park, Kate Donahue, Manish RaghavanSocial Bias in Language Models Algorithmic Fairness
Massachusetts Institute of Technology Cambridge, Massachusetts, USA
Responsible Benchmarking of Fairness for Automatic Speech Recognition
May 11, 2026Felix Herron, Ange Richard, François Portet +2Algorithmic Fairness Demographic Bias in ASR
MILES Team, LAMSADE, Université Paris Dauphine-PSL (1) · GETALP Team, LIG, Université Grenoble Alpes (2) · PACTE, Université Grenoble-Alpes (3)
Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
May 11, 2026Mieke Wilms, Christoph HeitzAlgorithmic Fairness Group Fairness
Zurich University of Applied Sciences / University of Zurich, Switzerland · Zurich University of Applied Sciences, Switzerland
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI
May 11, 2026Gideon Popoola, John SheppardExplainable Artificial Intelligence Algorithmic Auditing
Montana State University, Bozeman, Montana, USA
The Pokémon Theorem and other Fairness Impossibility Results
May 9, 2026Daniel Matsui Smola, Alex SmolaAlgorithmic Fairness Group Fairness
Department of Computer Science University of Washington Seattle, WA · Boson AI Santa Clara, CA
Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias
May 9, 2026Aishwarya Fursule, Shruti Kshirsagar, Anderson R. AvilaAudio Deepfake Detection Algorithmic Fairness
School of Computing, Wichita State University, Wichita, KS, USA · Institut national de la recherche scientifique (INRS-EMT), Montreal, QC, Canada · INRS-UQO Mixed Research Unit on Cybersecurity, Gatineau, Canada
Explanation Fairness in Large Language Models: An Empirical Analysis of Disparities in How LLMs Justify Decisions Across Demographic Groups
May 9, 2026Gautam VeldandaLLM Auditing Algorithmic Fairness
Independent Researcher
Benchmarking Fairness in Spiking Neural Networks: Data Bias, Spurious Features, and Hardware Effects
May 8, 2026Hudi He, Fukun Wang, Zhe Wang +7Benchmark Design Algorithmic Fairness
Jilin University · Nanyang Technological University · RMIT University
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
May 7, 2026Aditya Parikh, Stella Frank, Sneha Das +1Image Segmentation Algorithmic Fairness
Department of Applied Mathematics and Computer Science Technical University of Denmark
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization
May 7, 2026John Wang, Mengfan XuMulti-Armed Bandits Multi-Agent System Optimization
University of Massachusetts Amherst
On the Safety of Graph Representation Learning
May 7, 2026Xiaoguang Guo, Zehong Wang, Ziming Li +5Graph Representation Learning Algorithmic Fairness
University of Connecticut · University of Notre Dame
Debiased Multimodal Personality Understanding through Dual Causal Intervention
May 7, 2026Yangfu Zhu, Zitong Han, Nianwen Ning +4Causal Representation Learning Algorithmic Fairness
Capital Normal University · Beijing, China · Henan University +2
Price of Fairness in Short-Term and Long-Term Algorithmic Selections
May 7, 2026Shahin Jabbari, Chen WangSequential Decision Making Algorithmic Fairness
Drexel University · Rensselaer Polytechnic Institute
Tuning Derivatives for Causal Fairness in Machine Learning
May 7, 2026Filip Edström, Guilherme W. F. Barros, Tetiana Gorbach +1Structural Causal Models Algorithmic Fairness
Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, 901 87, Sweden. · Integrated Science Lab, Department of Physics, Ume˚a University, Ume˚a, 901 87, Sweden. · Department of Statistics, Ume˚a School of Business, Economics and Statistics, Ume˚a University, Ume˚a, 901 87, Sweden.
FairEnc: A Fair Vision-Language Model with Fair Vision and Text Encoders for Glaucoma Detection
May 6, 2026Mohamed Elhabebe, Ayman El-Baz, Qing LiuAlgorithmic Fairness Algorithmic Bias
Center for Machine Vision and Signal Analysis, University of Oulu, Finland · Department of Bioengineering, University of Louisville, USA · The Department of Physics and Engineering, UiT The Arctic University of Norway, Norway
FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
May 5, 2026Farjana YesminExplainable Artificial Intelligence Healthcare
Independent Researcher · Boston, MA, USA · MA
ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs
May 3, 2026Marah Halawa, Olaf HellwichRepresentation Learning Algorithmic Fairness
Technische Universität Berlin
Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI
May 2, 2026Yi-Cheng Lin, Yun-Shao Tsai, Kuan-Yu Chen +3Algorithmic Fairness Speech Processing
Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan · University of Southern California, Los Angeles, CA, USA · NTU Artificial Intelligence Center of Research Excellence (NTU AI-CoRE), National Taiwan University, Taipei, Taiwan
From Awareness to Action: Understanding and Overcoming the Research-Practice Gap in Algorithmic Fairness for Public Health
May 2, 2026Sara Altamirano, Tijs Portegies, Sennay GhebreabAlgorithmic Fairness
Informatics Institute University of Amsterdam Science Park 900, 1098 XH Amsterdam
Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
May 1, 2026Shradha Sharma, Swapnil Dhamal, Shweta JainMulti-Armed Bandits Cooperative Game Theory
Indian Institute of Technology Ropar
Fairness of Classifiers in the Presence of Constraints between Features
May 1, 2026Martin C. Cooper, Imane BousdiraAlgorithmic Fairness Classification
IRIT, University of Toulouse · IRIT, Toulouse INP
A Framework for Exploring and Disentangling Intersectional Bias: A Case Study in Fetal Ultrasound
May 1, 2026Aya Elgebaly, Joris Fournel, Benjamin Laine Jønch Jurgensen +5Algorithmic Fairness Algorithmic Bias
Technical University of Denmark, Denmark · CAMES Rigshospitalet, Denmark
Fair Dataset Distillation via Cross-Group Barycenter Alignment
Apr 30, 2026Mohammad Hossein Moslemi, Nima Hosseini Dashtbayaz, Zhimin Mei +2Algorithmic Fairness Group Fairness
Western University, London, Ontario · Vector Institute, Toronto, Ontario · Ivey Business School, London, Ontario +1
MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness
Apr 30, 2026Jeanne Monnier, Thomas George, Frédéric Guyard +2Algorithmic Fairness Group Fairness
Orange Research, Châtillon, France · EURECOM, Sophia Antipolis, France

May 13, 2026, cs.LGJ/K move · Enter open · S save

Fast and effective algorithms for fair clustering at scale

Claudio Mantuano, Manuel Kammermann, Philipp Baumann

Department of Business Administration, University of Bern, Engehaldenstrasse 4, 3012 Bern, Switzerland

Clustering Algorithmic Fairness Group Fairness

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Clustering is an unsupervised machine learning task that consists of identifying groups of similar objects. It has numerous applications and is increasingly used in fairness-sensitive domains where objects represent individuals, such as customers, employees, or students. We address a fair clustering problem in which objects belong to protected groups. The problem consists of partitioning the objects into a predefined number of clusters while attaining a user-defined target level of fairness, meaning that each protected group is sufficiently represented in each cluster. The objective is to minimize the clustering cost, defined as the sum of squared Euclidean distances between the objects and the centers of their clusters. Since clustering cost and fairness are generally in conflict, managing the trade-off between them is essential in practical applications. Existing methods provide limited control over this trade-off and either fail to scale to large datasets or, when they scale, produce low-quality solutions. We propose a general framework for fair clustering that provides precise control over the cost-fairness trade-off and introduce three heuristics based on it. The first heuristic focuses on solution quality and the flexibility to incorporate additional constraints, the second improves scalability while retaining high solution quality, and the third is designed for maximum scalability, producing solutions for instances with millions of objects in seconds. The proposed heuristics outperform existing approaches in comprehensive numerical experiments on benchmark datasets. The source code of our heuristics and instructions for reproducing the experiments are publicly available on GitHub.

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