Algorithmic Bias

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Overview

Algorithmic bias research examines how data imbalances, proxy features, shortcuts, and deployment feedback can produce unequal predictions or treatment. Researchers use group metrics such as demographic parity and equalized odds, counterfactual audits, and subgroup tests on settings including hiring, medical diagnosis, face recognition, and recommendation. Mitigations include data rebalancing, adversarial or decorrelated representations, calibration, pruning, and inference-time steering for language and image-generation models. A central tension is that interventions can trade off accuracy or create new disparities, while fairness metrics and results may not transfer across populations, datasets, or real-world contexts.

Latest papers

CardsList

101 papers7 papers in the last four weeks, down 30% on the four weeks before. 0.0% of all new papers.

  1. IsoAct: Geometry-Aware Post-hoc Debiasing via Isometric Actions

    Oct 26, 2026Sumin Park, Taero Kim, Minhyeong Cho +3Geometric Representation LearningAlgorithmic Bias

    University of Wisconsin–Madison · Yonsei University · SK Shieldus +1

  2. Detection and Validation of Hidden Subgroup Disparities in Clinical AI

    Oct 23, 2026Alceu Bissoto, Trung-Dung Hoang, Tim Flühmann +4Fairness in Medical Image ClassificationAlgorithmic Bias

    Department of Digital Medicine, University of Bern, Switzerland · Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, Switzerland · Diabetes Center Berne, Switzerland +3

  3. When Annotation Patterns Are Learned: Skin-Tone Dependence in Dermatology Concepts

    Oct 22, 2026Y. Li, M. Bigliardi-Qi, S. Bedros +2Algorithmic BiasFairness in Medical Image Classification

    University of Minnesota

  4. Fairness or Fallacy? Mapping the Landscape of AI Bias in Disease Detection

    Oct 19, 2026Ghulam Mudassir, Hameed Ullah Khan, Ahmad Sami Al-Shamayleh +4Algorithmic BiasAlgorithmic Fairness

    School of Computing, University of Buckingham, Buckingham, MK181EG, United Kingdom · Department of Computer Science Sir Syed CASE Institute of Technology, Islamabad, 44000, Pakistan · Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Al-Ahliyya Amman University, Amman, 19328, Jordan +4

  5. Generative AI Produces and Transmits Beauty Bias

    Oct 15, 2026AJ Alvero, Deepak Varuvel Dennison, Alexandra Crespin +5Demographic Bias in T2I ModelsAlgorithmic Bias

    Cornell University, Ithaca, NY, USA · University of Florida, Gainesville, FL, USA · University of Pennsylvania, Philadelphia, PA, USA

  6. Mitigating Accent-Language Confusion in Self-Supervised Speech Representations for Language Identification

    Oct 7, 2026Minu Kim, Jihwan Lee, David R. Mortensen +1Language IdentificationAlgorithmic Bias

    Signal Analysis and Interpretation Lab (SAIL), University of Southern California, USA · Language Technologies Institute, Carnegie Mellon University, USA

  7. Responsible Institutional Analytics: Interpreting Bias with AI Support

    Oct 5, 2026Francielle Marques, Ariel Ortiz-Beltrán, Ishari Amarasinghe +1Algorithmic BiasResponsible AI

    Pompeu Fabra University, Barcelona, Catalonia

  8. Representation Disentanglement for Fair Chest X-Ray Diagnosis

    Oct 5, 2026Yujie Sun, Ruizhe Li, Xiaowu SunChest X-Ray ClassificationRepresentation Disentanglement

    Academy of Artificial Intelligence and Advanced Technology, Xi’an Jiaotong-Liverpool University, China · Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, UK

  9. Algorithmic Harms Associated with Generative Model-Augmented Recommendation Systems

    Sep 27, 2026Christine Herlihy, Xumei Xi, Shloka Desai +2Algorithmic FairnessGenerative Recommendation

    Pinterest, Inc. San Francisco, California, USA

  10. Measurement-Gated Provenance Attenuation for Frozen EEG Representations

    Sep 26, 2026Anuar Aimoldin, Yankai Chen, Ayana Mussabayeva +2Invariant Representation LearningDistribution Shift

    Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

  11. Is invariance all you need for algorithmic fairness? Removing demographic information can create new bias

    Sep 25, 2026Aditya Parikh, Eike Petersen, Stella Frank +3Algorithmic FairnessAlgorithmic Bias

    Technical University of Denmark, Kgs. Lyngby, Denmark · Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany · CONICET – Universidad de Buenos Aires, ICC, Buenos Aires, Argentina +1

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

    Sep 24, 2026Samira Maghool, Paolo CeravoloAlgorithmic FairnessAlgorithmic Bias

    Pegaso University, Italy · University of Milan, Italy

  13. Et Tu, Brute? Economic Misalignment in Personal AI Agents

    Sep 21, 2026Aman Priyanshu, Supriti Vijay, Brian Jabarian +1Personal AI AgentsAI Alignment

    Foundation AI, Cisco · Carnegie Mellon University

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

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

    Department of Management Studies Indian Institute of Science, Bangalore

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

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

    VisionLabs · Amazon Web Services · Mohamed bin Zayed University of Artificial Intelligence

  16. From Network Inequality to Network Fairness: A Perspective on Responsible Decision-Making

    Sep 12, 2026Lisette Espín-Noboa, Tina Eliassi-Rad, Pak-Hang Wong +5Algorithmic FairnessAlgorithmic Bias

    Complexity Science Hub Vienna, Vienna, Austria · Northeastern University, Boston, USA · Santa Fe Institute, Santa Fe, USA +6

  17. Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets

    Sep 9, 2026Judith Bernett, Anton Spannagl, Joel Ås +2Algorithmic BiasProtein-Protein Interaction Prediction

    Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg · TUM School of Life Sciences Technical University of Munich · Department of Experimental Oncology IEO European Institute of Oncology IRCCS

  18. A Fairness Audit of the Duckworth-Lewis-Stern Method: Format-Specific and Gender-Differential Bias, with an Interpretable Calibration Layer for Cricket Target Revision

    Sep 4, 2026Soumyadeep RoyAlgorithmic Bias

    St. Xavier’s College (Autonomous), Kolkata, India

  19. Applications of Risk Science to AI Fairness Evaluation: Principles, Challenges, and Best Practices

    Aug 30, 2026Kyra Wilson, Sabrina Kang, Saloni Dash +1AI Safety EvaluationAlgorithmic Fairness

    University of Washington Seattle, WA 98195 USA

  20. Benevolent Bias in Multi-Turn Human-Agent Dialogue

    Aug 29, 2026Qianqi Liu, Jin Huang, Fethiye Irmak Dogan +1Social Bias in Language ModelsAlgorithmic Bias

    University of Cambridge

  21. Counterfactual Bias Testing for Application Tracking System

    Aug 27, 2026Sai Yashwant, Shruti Bansal, Anurag Dubey +4Algorithmic FairnessAlgorithmic Bias

    ManpowerGroup Services India Pvt. Ltd. · Indian Institute of Technology, Hyderabad

  22. Learning Late, Guiding Early: Timestep-Decoupled Semantic Guidance for Fair Face Generation

    Aug 26, 2026Subir Kumar Parida, Rajbabu Velmurugan, Ketan Kotwal +2Diffusion Model GuidanceImage Generation

    Bhabha Atomic Research Centre (B.A.R.C.), Mumbai, India · Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India

  23. Epistemic Subordination: Generative AI and the Infrastructure of Knowledge

    Aug 19, 2026Gilad Abiri, Emanuel V. TowfighAI GovernanceCultural Bias in Language Models

  24. Fidelity Preference, Not Demographic Preference: A Pixel-Level Attribute-Sensitivity Audit of Image Aesthetic/Preference Scorers

    Aug 17, 2026Mingyang XuAlgorithmic BiasAlgorithmic Fairness

    Peking University Beijing, China

  25. Identifying Confusion Trends in Concept-based XAI for Multi-Label Classification

    Aug 16, 2026Haadia Amjad, Ronald TetzlaffDataset BiasConcept-Based Explanations

    Chair of Fundamentals of Electrical Engineering TUD Dresden University of Technology Dresden, Germany

  26. Discovery and Spatial Characterisation of Multiple Shortcut Groups for Auditing Vision Model Bias

    Aug 14, 2026Akshit Achara, Vishnunarayan Manickam, Thomas Day +3Shortcut LearningAlgorithmic Bias

    School of Biomedical Engineering and Imaging Sciences, King’s College London, UK

  27. When Who You Are Can Change the Code You Get: A Study of Persona-Induced Bias in LLM Code Generation

    Aug 12, 2026Anubhav Gupta, Mayara Costa Figueiredo, Leticia Santos Machado +4Demographic Bias in Language ModelsAlgorithmic Bias

  28. Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias

    Aug 12, 2026Sara Abdulaziz, Egor BondarevAnomaly LocalizationAlgorithmic Bias

    Eindhoven University of Technology, 5612 AE Eindhoven, Netherlands

  29. Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias

    Aug 11, 2026Sarvesh Shashidhar, Lankireddy Prabhat, Arpit Agarwal +3Popularity BiasAlgorithmic Bias

    Centre of Machine Intelligence & Data Science Indian Institute of Technology, Bombay Mumbai, Maharashtra, India · Electrical & Computer Engineering Dept. Georgia Institute of Technology Atlanta, GA, USA · Dept. of Computer Science & Engineering Indian Institute of Technology, Bombay Mumbai, Maharashtra, India +3

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

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

    Northumbria University, UK · University of Cambridge, UK · University of Oxford, UK