Demographic Bias in Language Models

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15 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

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  1. Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities

    Apr 24, 2026Ilana Nguyen, Harini Suresh, Thema Monroe-White +1Cultural Bias in Language ModelsLanguage Model Bias Evaluation

    Brown University, USA · Brown University, Providence, Rhode Island, USA · George Mason University, Fairfax, Virginia, USA +1

  2. Measuring and Mitigating Persona Distortions from AI Writing Assistance

    Apr 24, 2026Paul Röttger, Kobi Hackenburg, Hannah Rose Kirk +1Trust in AIDemographic Bias in Language Models

    University of Oxford · UK AI Security Institute

  3. From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation

    Apr 23, 2026Minh Duc Bui, Xenia Heilmann, Mattia Cerrato +2Algorithmic BiasCode Generation Evaluation

    Johannes Gutenberg University Mainz, Germany · Universidad Iberoamericana, Ciudad de Mexico · University of Colorado Boulder, USA

  4. Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles

    Apr 22, 2026Irti Haq, Belén SaldíasLanguage Model Safety EvaluationSocial Bias in Language Models

    University of Washington, USA

  5. Intersectional Fairness in Large Language Models

    Apr 22, 2026Chaima Boufaied, Ronnie De Souza Santos, Ann BarcombAlgorithmic FairnessLanguage Model Bias Evaluation

    University of Calgary, Calgary, Canada

  6. Surrogate modeling for interpreting black-box LLMs in medical predictions

    Apr 22, 2026Changho Han, Songsoo Kim, Dong Won Kim +4Surrogate ModelingLLM Interpretability

    Medical Big Data Research Center, Seoul National University Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea · Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea. · Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139 +5

  7. Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives

    Apr 22, 2026Melanie Subbiah, Haaris Mian, Nicholas Deas +3Gender Bias in Language ModelsLLM Auditing

    Department of Computer Science, Columbia University · Department of Applied Physics and Applied Mathematics, Columbia University · Department of Psychology, Northwestern University

  8. Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring

    Apr 21, 2026Huy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho +1Algorithmic BiasLanguage Model Bias Evaluation

    University of Maryland

  9. PsychBench: Auditing Epidemiological Fidelity in Large Language Model Mental Health Simulations

    Apr 19, 2026Patrick KeoughHealthcareLLM Auditing

    Independent Researcher Bremerton, Washington, USA

  10. Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA

    Apr 19, 2026Alberto Testoni, Iacer CalixtoHealthcareSocial Bias in Language Models

    Department of Medical Informatics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands. · Amsterdam Public Health, Methodology, Amsterdam, The Netherlands.

  11. Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks

    Mar 22, 2026Navya Mehrotra, Adam Visokay, Kristina GligorićAnnotator DisagreementLLM-Assisted Annotation

    University of Washington

  12. Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement

    Jan 29, 2026Jinhao Pan, Chahat Raj, Anjishnu Mukherjee +4Debiased MLSocial Bias in Language Models

    Department of Computer Science, George Mason University, Fairfax, VA, USA · Lightridge High School, Aldie, VA, USA

  13. Tracing the Latent Threads: A Mechanistic Study of How LLMs Represent and Operationalize Race and Ethnicity Cues

    Jan 19, 2026Shiyue Hu, Ruizhe Li, Yanjun GaoLLM InterpretabilityMechanistic Interpretability

    University of Colorado Anschutz · University of Colorado Boulder · University of Aberdeen

  14. Safety Is Not Universal: The Selective Safety Trap in LLM Alignment

    Jan 7, 2026Iago Alves Brito, Walcy Santos Rezende Rios, Julia Soares Dollis +2LLM Safety BenchmarksLLM Alignment

    Advanced Knowledge Center for Immersive Technologies (AKCIT) Federal University of Goiás (UFG)

  15. Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs

    Jan 6, 2026David Hartmann, Lena Pohlmann, Lelia Hanslik +3LLM AuditingAlgorithmic Fairness

    Weizenbaum Institut Berlin · Technische Universität Berlin · FIZ Karlsruhe +2

  16. Improving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting

    Dec 17, 2025Gangxiong Zhang, Yongchao Long, Yuxi Zhou +2Algorithmic FairnessFew-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

  17. Behavioral Coherence: A Method for Sensitive-Domain LLM Evaluation

    Dec 15, 2025Anika Sharma, Malavika Mampally, Chidaksh Ravuru +2Language Model Bias EvaluationDemographic Bias in Language Models

    Society-Centered AI Lab UNC Chapel Hill, USA · School of Nursing UNC Chapel Hill, USA

  18. Large Language Models Develop Novel Social Biases Through Adaptive Exploration

    Nov 8, 2025Addison J. Wu, Ryan Liu, Xuechunzi Bai +1Social Bias in Language ModelsLanguage Model Bias Evaluation

    1Princeton University · University

  19. Which Demographics do LLMs Default to During Annotation?

    Oct 11, 2024Johannes Schäfer, Aidan Combs, Christopher Bagdon +9LLM PromptingLLM-Assisted Annotation

    Fundamentals of Natural Language Processing, University of Bamberg, Germany

  20. Ordinary, Reasonable Chatbots: Do AI Models Track Human Legal Judgments?

    Date pendingNirav Patel, Emily Wenger, Christopher BuccafuscoLLM EvaluationDemographic Bias in Language Models

    Duke University, Departments of Computer Science & Electrical and Computer Engineering · Duke University Law School