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.

Jul 13Week of Sep 28

Latest papers 270

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  1. Robust Decentralized Fairness Auditing

    Oct 7, 2026Sayan Biswas, Jade Garcia Bourrée, Anne-Marie Kermarrec +2Algorithmic AuditingLLM Auditing

  2. FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models

    Oct 5, 2026Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2Geospatial Foundation ModelsNeural Network Robustness

  3. Debias Anything: Fairness with Diversity without Supervision in Diffusion Models

    Oct 1, 2026Théau d'Audiffret, Mariia Vladimirova, Jean-Yves FranceschiDiffusion Model GuidanceDebiased ML

  4. Beyond Demographic Balance: Multi-Metric and Intersectional Evaluation of Fairness in MIMIC-IV Mortality Prediction

    Oct 1, 2026Abdullah Al Noman, Fahmid Al Rifat, Tahrima Hashem +3Algorithmic FairnessIntersectional Fairness

  5. Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness

    Oct 1, 2026Junhyuk Huh, Seoungbin Bae, Dabeen LeeMulti-Armed BanditsMinimax Regret

  6. Tolerance-Based Fairness Auditing: Violation Certification and Sensitivity Screening

    Oct 1, 2026Jie Tang, Chuanlong Xie, Lixing ZhuAlgorithmic AuditingAlgorithmic Fairness

  7. Efficient Active Auditing of Multi-Group Fairness with Bias Probes

    Sep 30, 2026Ayoub Ajarra, Debabrota BasuAlgorithmic FairnessGroup Fairness

  8. Fairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning Systems

    Sep 29, 2026Kelly McConvey, Angelina Zhai, Rebecca Li +1Algorithmic AuditingAlgorithmic Fairness

  9. Pruning for Efficiency, Paying in Fairness: Demographic Disparities in Pruned Speech-LLMs

    Sep 29, 2026Ganesh Pavan Kartikeya Bharadwaj Kolluri, Michael Kampouridis, Ravi ShekharLLM PruningAlgorithmic Fairness

  10. A Comprehensive View of Fairness through Distributional Stability

    Sep 29, 2026Gayane Taturyan, Charlotte Laclau, Stephan ClémenconDistribution Shift RobustnessAlgorithmic Fairness

  11. FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models

    Sep 29, 2026Song-Li Wu, Xianquan Wang, Zhaocheng Du +2Diffusion GuidanceAlgorithmic Fairness

  12. CAMEO: A Class-Activation-Mapped Equitable Overlay Framework for Fair and Robust Deep Learning-based Skin Condition Diagnosis

    Sep 28, 2026Youssef Attia, Debasmita MukherjeeSkin Lesion ClassificationAlgorithmic Fairness

  13. Investigating the Effect of k-NN Preprocessing on Developing Graph Neural Networks: A Fairness-Based Perspective

    Sep 27, 2026Nikolaos Zafeiropoulos, Emmanouil Mavrikos, George E. TsekourasGraph Neural NetworksAlgorithmic Fairness

  14. The Gold in Bias: Maturing the AI Design Process through Verification

    Sep 24, 2026Samira Maghool, Paolo CeravoloAlgorithmic FairnessAlgorithmic Bias

  15. Compliant with Local Controls, Collectively Discriminatory. A Governance Architecture for Multi-Agent AI in Regulated Finance

    Sep 23, 2026Jose Manuel de la Chica Rodriguez, Juan Manuel Vera Diaz, Pablo Delgado RomeroFinancial ServicesAlgorithmic Fairness

  16. Consequential Behaviour and Representational Fairness in the Validation of Synthetic Research

    Sep 23, 2026Florian Kutzner, Celina Kacperski, Laura de Molière +4Algorithmic FairnessLarge Language Model-Based Social Simulation

  17. FairTest: Search-Based Fairness Testing for Multi-Agent Reinforcement Learning Systems

    Sep 23, 2026Xiaotong Wang, Xuan XieAutomated Software TestingAlgorithmic Fairness

  18. When Post-Processing Fairness Constraints Help and When They Harm: Evidence from Eight Cross-Domain Evaluations

    Sep 22, 2026Nithin Raghava Ramachandra NarlaAlgorithmic AuditingAlgorithmic Fairness

  19. FairMean: Promoting Fairness in Distributed Learning under Label Poisoning Attacks

    Sep 22, 2026Huigan Zheng, Jiaojiao Zhang, Yongxiang LiuAlgorithmic FairnessAdaptive Loss Weighting

  20. Queer inclusion in speech datasets: An audit and taxonomy of practical tensions

    Sep 21, 2026Brooklyn Sheppard, Anaelia Ovalle, Adina Williams +1Algorithmic Fairness

  21. Identifying Representational Biases in Datasets Using PCA: A Max-Disparity Partition Framework

    Sep 21, 2026Arjun KM, Shashi JainPrincipal Component AnalysisAlgorithmic Fairness

  22. Machine Learning-Based Prediction of Childhood Stunting in Bangladesh: Fairness and Temporal Robustness Assessment

    Sep 21, 2026Md Ahshanul Haque, Muhammad Ashad KabirHealthcareAlgorithmic Fairness

  23. The AR Fairness Metamodel: A Structured Framework for Fairness Measures

    Sep 16, 2026Julian Alfredo Mendez, Timotheus KampikFair Resource AllocationAlgorithmic Fairness

  24. FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment

    Sep 15, 2026Yuanbo Guo, Yiyu ShiModel CompressionAlgorithmic Fairness

  25. FairLint-DL: An IDE-Native Tool for Fairness Debugging of Deep Learning Software

    Sep 14, 2026Archit Rathod, Saeid Tizpaz-NiariAlgorithmic Fairness

  26. DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching

    Sep 14, 2026Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev +1Algorithmic FairnessAlgorithmic Bias

  27. Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

    Sep 8, 2026Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1Classifier-Free GuidanceAlgorithmic Fairness

  28. The Role of Uncertainty in Assessing the Fairness of Machine Learning Models

    Sep 7, 2026Francesca Panero, Ernst C. Wit, Marco ScutariUncertainty QuantificationAlgorithmic Fairness

  29. Counterfactual Fairness Audits of Multi-Step Clinical LLM Agents Require a Measured Per-Action Instability Floor

    Sep 2, 2026Rohith Reddy Bellibaltu, Manpreet Singh, Deepak Parashar +1Counterfactual EvaluationAlgorithmic Fairness

  30. Portable Causal Fairness Across Synthetic Data Generator Families

    Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockAlgorithmic FairnessSynthetic Tabular Data Generation

  31. Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap

    Sep 2, 2026Nirajan Kunwor, Sanjaya Poudel, Quoc-Huy Trinh +2Domain GeneralizationSkin Lesion Classification

  32. Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems

    Sep 2, 2026Yiran Zhao, Lu Zhou, Liming Fang +4Algorithmic FairnessAI-Assisted Decision Making

  33. Causal Evidentiary Governance for High-Risk Machine Learning Systems

    Sep 1, 2026Samah Kareem, Barış ÇeliktaşAlgorithmic AuditingAlgorithmic Accountability

  34. Collapsibility of Performance Metrics in Clinical Predictive AI

    Aug 31, 2026João Matos, Ben Van Calster, Richard D. Riley +2Algorithmic FairnessClinical Prediction

  35. Fairness in multi-class multi-group classification problems via contextial coherent risk measures

    Aug 31, 2026Darinka Dentcheva, Xiangyu TianAlgorithmic FairnessMulticlass Classification

  36. Subgroup performance analysis of adaptation strategies for chest X-ray foundation models

    Aug 19, 2026Dhruv Gupta, Emma A. M. Stanley, Fabio De Sousa Ribeiro +2Chest X-Ray ClassificationMedical Imaging Foundation Models

  37. Bias Mitigation in Face Recognition via Demographic-based Supervised Contrastive Learning

    Aug 13, 2026Yu Linghu, Salman Mohammad, Xinyi Zhang +1Algorithmic FairnessGroup Fairness

  38. FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation

    Aug 13, 2026Yuchen Zheng, Sihan Xu, Jingwen Yang +3Algorithmic FairnessGenerative Recommendation

  39. A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes

    Aug 11, 2026Yijin Ni, Xiaoming HuoRepresentation LearningAlgorithmic Fairness

  40. Do Judges Behave Like Algorithms?

    Aug 11, 2026Riya Manchanda, Eric Chen, Chloe Zhu +3Legal Judgment PredictionAlgorithmic Fairness

  41. Human versus Computer Vision

    Aug 10, 2026Elena SirotkinaVisual AttentionAlgorithmic Fairness

  42. Procedural Fairness Failures in RLHF from Preference Averaging

    Aug 10, 2026M P V S Gopinadh, Karthik Kamuju, Kummari Avinash +2Reward ModelingAlgorithmic Fairness

  43. Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study

    Aug 10, 2026Valentijn Oldenburg, Floris de Kam, Stef de Wildt +1Learning to RankLink Prediction

  44. CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face Analysis

    Aug 10, 2026Nazia Aslam, Khalid Adnan Alsayed, Thomas B. Moeslund +1Algorithmic FairnessIntersectional Fairness

  45. Measuring the Tokenization Premium: A Cost Audit for Underserved Language Communities

    Aug 10, 2026Avijit Roy, Proma Roy, Hrishitva PatelAlgorithmic FairnessToken Efficiency

  46. A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences

    Aug 8, 2026Jobst Heitzig, Ram PothamAI AlignmentAlgorithmic Fairness

  47. Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation

    Aug 5, 2026Mackenzie Jorgensen, Jo Reilly, Alex Sutherland +1Algorithmic FairnessAlgorithmic Bias

  48. Manipulation-Proof Oblivious Audits against Deceptive Model Providers

    Aug 5, 2026Augustin Godinot, Sofiane Azogagh, Julien Ferry +1Algorithmic FairnessBlack-Box Model Auditing

  49. Equitable System-Prompt Selection via Constrained Mixed-Strategy GroupDRO

    Aug 5, 2026Mengyu Xu, Qiaoxin Yang, Zhihan Liu +4LLM PromptingAlgorithmic Fairness

  50. Variable Selection in the Context of AI Fairness

    Aug 4, 2026Ivan Luciano Danesi, Chiara Frigerio, Fabio Maccaferri +2Algorithmic FairnessGroup Fairness

  51. GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits

    Aug 3, 2026Nitish Nagesh, Elahe Khatibi, Thomas Dean Hughes +3Algorithmic AuditingAlgorithmic Fairness

  52. Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

    Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenAlgorithmic FairnessClient Selection in Federated Learning

  53. FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection

    Aug 3, 2026Yaning Zhang, Jiao Wu, Zan Gao +1Algorithmic FairnessDeepfake Detection