Fairness

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Period ending 2026-09-14

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Period ending 2026-09-07

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

    Sep 16, 2026Julian Alfredo Mendez, Timotheus KampikFairness

  2. The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment

    Sep 15, 2026Donya Rooein, Luca Benedetto, Dirk HovyLarge Language Model BiasDemographics

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

    Sep 14, 2026Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev +1Face Recognition SystemsFairness-Aware Learning

  4. Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning

    Sep 14, 2026Ting Xu, Henry LeungFairness-Aware Learning

  5. GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphs

    Sep 14, 2026Ahmed Sohair Khan, Estrid He, Chenglong Ma +2ProfileModel Provenance

  6. MUtE: A Dual Framework for Concept Erasure and Counterfactual Interventions

    Sep 11, 2026Antoine SaillenfestConcept ErasureFairness-Aware Learning

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

    Sep 8, 2026Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1Text-To-Image Diffusion ModelsDiffusion Models

  8. Navigating the digital spectrum: Assessing political bias, stability, and downstream fairness in Large Language Models

    Sep 8, 2026Luka Debevc, Nishan Chatterjee, Antoine Doucet +2Large Language Model BiasIdeology

  9. LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

    Sep 8, 2026Zijian Shen, Bin Zhou, Jiguang Wang +2Synthetic DataBayesian Networks

  10. A Sub-4 Approximation for Fair k-Means

    Sep 7, 2026Kangke Cheng, Guanlin Mo, Shihong Song +1K$-MeansApproximation Algorithms

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

    Sep 7, 2026Francesca Panero, Ernst C. Wit, Marco ScutariFairnessUncertainty Quantification

  12. Prevalence calibration as shortcut mitigation

    Sep 7, 2026Mohamed Amine Kina, Eike PetersenShortcutsPrevalence

  13. 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 +1Fairness AuditsAgentic Evaluations

  14. Portable Causal Fairness Across Synthetic Data Generator Families

    Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockFairness-Aware LearningSynthetic Data

  15. FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-Making

    Sep 1, 2026Vahid Reza Khazaie, Ahmed Y. Radwan, Shaina RazaRecent Vision-Language ModelsLarge Language Model Bias

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

    Sep 1, 2026Samah Kareem, Barış ÇeliktaşFairness AuditsFeature Attribution

  17. LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts

    Aug 31, 2026Daniela Occhipinti, Andrea Piergentili, Marco GueriniDemographicsHuman Annotators

  18. VFR-Audit: Verdict-Level Reliability for Fairness Audits in Hospital Length-of-Stay Prediction

    Aug 31, 2026Md Jannatul Rakib Joy, Viet Vo, Caslon ChuaFairness AuditsAlgorithm Auditing

  19. Collapsibility of Performance Metrics in Clinical Predictive AI

    Aug 31, 2026João Matos, Ben Van Calster, Richard D. Riley +2Performance MetricPredictive Performance

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

    Aug 31, 2026Darinka Dentcheva, Xiangyu TianFairness-Aware LearningMulticlass Classification

  21. Simultaneous Envy and Equitability Guarantees

    Aug 26, 2026Hadi Hosseini, Shraddha Pathak, Lirong Xia +1Optimal Comparison AllocationFairness

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

    Aug 13, 2026Yu Linghu, Salman Mohammad, Xinyi Zhang +1Fairness-Aware LearningBias Detection and Mitigation

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

    Aug 13, 2026Yuchen Zheng, Sihan Xu, Jingwen Yang +3Recommendation ArchitectureFairness-Aware Learning

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

    Aug 11, 2026Yijin Ni, Xiaoming HuoFairness-Aware LearningDisparities

  25. Procedural Fairness Failures in RLHF from Preference Averaging

    Aug 10, 2026M P V S Gopinadh, Karthik Kamuju, Kummari Avinash +2Reinforcement Learning From Human FeedbackFairness

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

    Aug 10, 2026Valentijn Oldenburg, Floris de Kam, Stef de Wildt +1FairnessDisparities

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

    Aug 10, 2026Nazia Aslam, Khalid Adnan Alsayed, Thomas B. Moeslund +1Fairness AuditsFace Recognition Systems

  28. Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders

    Aug 8, 2026Chan Aristella Lu, Arya Fayyazi, Junhao Zhang +6Fairness AuditsLarge Language Model Bias

  29. Beyond Aggregate Calibration: Decomposing Income-Conditional Recall Disparities in Automated Credit Default Prediction

    Aug 8, 2026Sai Srikar BoddupalliCredit Risk PredictionDisparities

  30. People Are Not Just Their Countries. Disentangling Social Determinants of LLM Value Alignment Across Europe

    Aug 7, 2026Maria-Louisa Wightman, Guillaume Bied, Tijl De BieHuman ValuesLarge Language Model Alignment

  31. Natural Language Processing Psychometrics

    Aug 7, 2026Edoardo Sebastiano De Duro, Emma Franchino, Massimo StellaPsychometricsMental Health

  32. Does Splitting a Triage Decision Across Agents Hide Bias or Help Catch It? A Multi-Agent Simulation Study of LLM-Based Resource Allocation Under Audit Capacity Constraints

    Aug 7, 2026Paul-Peter ArslanLarge Language Model BiasMulti-Agent Large Language Model Systems

  33. Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

    Aug 6, 2026Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos +2Fairness-Aware LearningFairness

  34. Manipulation-Proof Oblivious Audits against Deceptive Model Providers

    Aug 5, 2026Augustin Godinot, Sofiane Azogagh, Julien Ferry +1Fairness AuditsAlgorithm Auditing

  35. Variable Selection in the Context of AI Fairness

    Aug 4, 2026Ivan Luciano Danesi, Chiara Frigerio, Fabio Maccaferri +2FairnessEpistemic Uncertainty Artificial Intelligence Act

  36. Implementing Causal Perception: Competing SCMs and Situated Fairness

    Aug 4, 2026Jose M. ÁlvarezFairnessStructural Causal Model

  37. 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 +3Causal DiscoveryFairness Audits

  38. Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation

    Aug 3, 2026Zeshen Zheng, Yujia He, Qianmian Lin +2DemographicsFairness

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

    Aug 3, 2026Yaning Zhang, Jiao Wu, Zan Gao +1Deepfake DetectionFace Forgery Detection

  40. ZK-SR117: A Chunked Zero-Knowledge Attestation Design for Aggregated Fair-Lending Metrics, with a Control Mapping toward Full SR 11-7 Coverage

    Aug 1, 2026Mohammad Nasir Uddin, Rahnuma Tabassum Orpita, Eklachur Rahman Bhuiyan +1Fairness AuditsCanonical Action Verification And Attestation

  41. Fairness Auditing: Lower Bounds on Company Manipulation

    Aug 1, 2026Rachit Verma, Padala Manisha, Sujit GujarFairness AuditsFairness

  42. Normal-Anchored First-Order Model-Agnostic Meta-Learning based Whisper Fine-Tuning for Enhancing Fairness of Cleft Lip and Palate Speech Recognition

    Jul 31, 2026Susmita Bhattacharjee, Jagabandhu Mishra, H. S. Shekhawat +2Whisper-Large-V3Automatic Speech Recognition

  43. End-to-End Fairness Optimization with Fair Decision-Focused Learning

    Jul 31, 2026Yu Wang, Violet Xinying ChenFairnessOptimal Comparison Allocation

  44. Can Zero-Shot LLMs Predict Child Malnutrition? A Fairness and Temporal Robustness Study

    Jul 31, 2026Muhammad Ashad Kabir, Md Ahshanul HaqueZero-Shot BenchmarkFairness

  45. FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents

    Jul 31, 2026Nitish Nagesh, Mahdi Bagheri, Amir M. RahmaniFairness-Aware LearningFairness

  46. FairFund-Bench: Evaluating Distributive Bias in LLM Resource Allocation

    Jul 31, 2026Martin LukkLarge Language Model BiasFairness Audits

  47. KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models

    Jul 30, 2026Sparsh Roy, Samuel Girmachew, Nishita ChavanFairness AuditsSubgroup Information

  48. When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses

    Jul 28, 2026Zihan Chen, Di Zhu, Lei Nico ZhengSocial SimulationsSurvey

  49. The Disruptive Impact of Large Language Models on Capture the Flag Competitions and the Path Toward Fair Play

    Jul 28, 2026Michael Macaulay, Harmony Bouabid, Guo Gen Ang +1Large Language Model SafetyCybersecurity

  50. Unequal Trips, Unequal Places: Diagnosing and Mitigating Delay Inequity in Autonomous Vehicle Fleet Coordination

    Jul 27, 2026Nicole Hu, Mingtao Zhang, Haoyang LI +2TrafficDynamic Replanning

  51. GeoStereo: A Unified Stereo Geometry Estimation Framework for Disparity and Surface Normal

    Jul 27, 2026Qizhe Wei, Xianda Guo, Shaocong Xu +3Stereo MatchingStereo Priors

  52. Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling

    Jul 26, 2026Shakti Sharma, Rahul MeshramGeneralized Linear BanditFairness

  53. Directional Influence Function: Estimating Training Data Influence in Constrained Learning

    Jul 25, 2026Xin Wang, R. Tyrrell Rockafellar, Xuegang +1Efficient Influence FunctionFairness-Aware Learning

  54. Online Fair Division with Budget Constraints

    Jul 25, 2026Saar Cohen, Nicholas Teh, Paul W. Goldberg +1Optimal Comparison AllocationFairness

  55. A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps Intervention

    Jul 23, 2026Ziping Xu, Yuyi Chang, Chenshun Ni +5Digital TwinsTwins

  56. Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning

    Jul 23, 2026Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini +2Large Language Model UnlearningUnlearning Aims

  57. Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups

    Jul 22, 2026Haran Shani-Narkiss, Michael Fire, Oren TsurLarge Language Model BiasFraming

  58. COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering

    Jul 20, 2026Kyungseon Lee, Hankyo Jeong, Kunwoong Kim +2Subgroup InformationFairness-Aware Learning

  59. Equality, Equity, and Causality in Fairness Research: A Commentary on Cheng (2026)

    Jul 20, 2026Youmi SukFairnessPsychometrics

  60. The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination

    Jul 19, 2026Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos PournarasMulti-Agent CoordinationDecentralization