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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FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
Feb 9, 2026Emmanouil Kariotakis, Aritra KonarAlgorithmic Fairness Group Fairness
Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium.
Separation-Utility Pareto Frontier: An Information-Theoretic Characterization
Feb 4, 2026Shizhou XuAlgorithmic Fairness
Department of Mathematics University of California Davis Davis, CA 95616, USA
Fair and Efficient Investment in Public Transportation
Feb 3, 2026Martin Bullinger, Edith Elkind, Kassian KöckAlgorithmic Fairness Combinatorial Optimization
School of Engineering Mathematics and Technology, University of Bristol, Bristol, UK · School of Engineering, Northwestern University, Evanston, USA · School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
Improved Algorithms for Nash Welfare in Linear Bandits
Jan 30, 2026Dhruv Sarkar, Nishant Pandey, Sayak Ray ChowdhuryMulti-Armed Bandits Algorithmic Fairness
Indian Institute of Technology Kharagpur · Indian Institute of Technology Kanpur
Fairness-Aware Performance Evaluation for Multi-Party Multi-Objective Optimization
Jan 30, 2026Zifan Zhao, Peilan Xu, Wenjian LuoCooperative Game Theory Algorithmic Fairness
School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China · Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Institute of Cyberspace Security, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China
Intersectional Fairness via Mixed-Integer Optimization
Jan 27, 2026Jiří Němeček, Mark Kozdoba, Illia Kryvoviaz +2Algorithmic Fairness Intersectional Fairness
Czech Technical University in Prague · Technion
Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
Jan 6, 2026David Hartmann, Lena Pohlmann, Lelia Hanslik +3LLM Auditing Algorithmic Fairness
Weizenbaum Institut Berlin · Technische Universität Berlin · FIZ Karlsruhe +2
Improving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting
Dec 17, 2025Gangxiong Zhang, Yongchao Long, Yuxi Zhou +2Algorithmic Fairness Few-Shot Prompting
School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China · Institute for Artificial Intelligence, Peking University, Beijing, China · DCST, BNRist, RIIT, Institute of Internet Industry, Tsinghua University, Beijing, China +1
FairLRF: Achieving Fairness through Sparse Low Rank Factorization
Nov 20, 2025Yuanbo Guo, Jun Xia, Yiyu ShiAlgorithmic Fairness Group Fairness
University of Notre Dame Notre Dame, Indiana, USA
Attribution Graphs and Causal Probing for Mechanistic Discovery and Bias Repair in Multimodal Generative Learning
Oct 14, 2025Noor Islam S. Mohammad, Uluğ BayazıtGradient-Based Attribution Causal Representation Learning
1,2Istanbul Technical University
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
Sep 30, 2025Md Zubair, Hao Zheng, Grayson W. Armstrong +4Algorithmic Fairness Multimodal Classification
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA · Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA · Louisiana Center for Health Innovation and College of Nursing & Health Sciences, University of Louisiana at Lafayette, Lafayette, LA, USA +2
Unbiased Binning for Fairness-aware Attribute Representation
Sep 26, 2025Abolfazl Asudeh, Zeinab Asoodeh, Bita Asoodeh +1Dynamic Programming Algorithmic Fairness
University of Illinois Chicago · Independent Researcher · University of Edinburgh +1
Fair-GPTQ: Bias-Aware Quantization for Large Language Models
Sep 18, 2025Irina Proskurina, Guillaume Metzler, Julien VelcinLLM Quantization Social Bias in Language Models
Université Claude Bernard Lyon 1, Université Lumière Lyon 2, ERIC · École Centrale de Lyon, LIRIS, CNRS UMR 5205
FairSSL: Fair Multimodal Self-Supervised Learning
Aug 22, 2025Jiaee Cheong, Abtin Mogharabin, Paul Liang +2Cross-Modal Learning Representation Learning
Harvard University · University of Cambridge · Middle East Technical University +1
Minority Collective Action for User-Side Fairness
Aug 21, 2025Omri Ben-Dov, Samira Samadi, Amartya Sanyal +1Algorithmic Fairness Group Fairness
Max Planck Institute for Intelligent Systems, Tübingen AI Center, Tübingen, Germany · Department of Computer Science, University of Copenhagen · ETH Zurich
FAIRVAR: Fair Federated Learning via Variance Regularization
Aug 16, 2025Zahra Kharaghani, Ali Dadras, Tommy LöfstedtAlgorithmic Fairness Federated Learning
Department of Computing Science, Umeå University, Umeå, Sweden · Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden
Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
Aug 11, 2025Holli Sargeant, Mackenzie Jorgensen, Arina Shah +3Selective Prediction Algorithmic Fairness
University of Cambridge, United Kingdom · Northumbria University, Newcastle, United Kingdom · George Washington University, Washington D.C., United States +2
How Reliable are Fairness Audits with Unreliable Data?
Jun 28, 2025Yash Vardhan TomarAlgorithmic Auditing Algorithmic Fairness
Purdue University
HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
May 16, 2025Shaina Raza, Aravind Narayanan, Vahid Reza Khazaie +6Algorithmic Fairness Multimodal Large Language Models
Vector Institute for Artificial Intelligence, Toronto, Canada · University of Central Florida, Orlando, USA
Causally Fair Node Classification on Non-IID Graph Data
May 3, 2025Yucong Dai, Lu Zhang, Yaowei Hu +2Structural Causal Models Graph Representation Learning
Clemson University · University of Arkansas · Walmart Inc.
Deep Fair Learning: Task-Aware Fair Representations via Joint Distance-Covariance Regularization
Apr 8, 2025Enze Shi, Yiqun Xiao, Linglong Kong +1Representation Learning Algorithmic Fairness
Department of Mathematical and Statistical Science, University of Alberta.
FairSAM: Fair Classification on Corrupted Image Data Through Sharpness-Aware Minimization
Mar 29, 2025Yucong Dai, Jie Ji, Xiaolong Ma +1Sharpness-Aware Minimization Image Corruption Robustness
Clemson University
Cohort-attention Evaluation Metrics for Tied Data
Mar 17, 2025Dongjing Jiang, Qingchong JiaoAlgorithmic Fairness Automated Evaluation
DeepCox, Canada
FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks
Jan 9, 2025Yongkang Du, Jen-tse Huang, Jieyu Zhao +1Social Bias in Language Models Algorithmic Fairness
Pennsylvania State University · University of Southern California
SPARC: Scalable Path-Specific Counterfactual Fairness via Causal Conditional Independence
Dec 6, 2024Bowei Tian, Yexiao He, Ziyao Wang +3Debiased ML Algorithmic Fairness
University of Maryland, College Park, MD 20742, USA · Clemson University, Clemson, SC 29634, USA
Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
Aug 23, 2024Arun Verma, Indrajit Saha, Makoto Yokoo +1Fair Resource Allocation Algorithmic Fairness
Singapore-MIT Alliance for Research and Technology, Republic of Singapore · Faculty of ISEE, Kyushu University, Japan · Department of Computer Science, National University of Singapore, Republic of Singapore
When fairness metrics fail: A utility-based perspective on $\varepsilon$ -fairness
May 15, 2024Tolulope Fadina, Thorsten SchmidtAlgorithmic Fairness Group 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
Measuring Model-Induced Discrimination via Efficient Fairness Approximation
May 15, 2024Yijun Bian, Yujie LuoAlgorithmic Fairness Group Fairness
Department of Computer Science, University of Copenhagen, 2100 Copenhagen, Denmark · Department of Mathematics, National University of Singapore, Singapore 117543, Singapore
Perturbation Effects on Robustness and Individual Fairness
Apr 1, 2024Xuran Li, Hao Xue, Peng Wu +4Neural Network Robustness Algorithmic Fairness
University of New South Wales Sydney, Australia · The Hong Kong University of Science and Technology Guangzhou, China · Key Laboratory of System Software, Institute of Software, Chinese Academy of Sciences Beijing, China +3
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
Feb 2, 2024Pablo Casas, Huan Yu, Christophe MuesDistribution Shift Robustness Financial Services
Southampton Business School, University of Southampton, Southampton, SO16 7QF, United Kingdom

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

Emmanouil Kariotakis, Aritra Konar

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

Algorithmic Fairness Group Fairness

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PageRank (PR) is a fundamental algorithm in graph machine learning tasks. Owing to the increasing importance of algorithmic fairness, we consider the problem of computing PR vectors subject to various group-fairness criteria based on sensitive attributes of the vertices. At present, principled algorithms for this problem are lacking - some cannot guarantee that a target fairness level is achieved, while others do not feature optimality guarantees. In order to overcome these shortcomings, we put forth a unified in-processing convex optimization framework, termed FairRARI, for tackling different group-fairness criteria in a ``plug and play'' fashion. Leveraging a variational formulation of PR, the framework computes fair PR vectors by solving a strongly convex optimization problem with fairness constraints, thereby ensuring that a target fairness level is achieved. We further introduce three different fairness criteria which can be efficiently tackled using FairRARI to compute fair PR vectors with the same asymptotic time-complexity as the original PR algorithm. Extensive experiments on real-world datasets showcase that FairRARI outperforms existing methods in terms of utility, while achieving the desired fairness levels across multiple vertex groups; thereby highlighting its effectiveness.

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