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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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 Guidance Algorithmic Fairness
University of Arkansas Fayetteville, AR, USA · University of North Carolina at Charlotte Charlotte, NC, USA
The Role of Uncertainty in Assessing the Fairness of Machine Learning Models
Sep 7, 2026Francesca Panero, Ernst C. Wit, Marco ScutariUncertainty Quantification Algorithmic Fairness
Department of Methods and Models for Economics, Territory and Finance, Sapienza Universit`a di Roma, Rome, 00161, Italy · Department of Statistics, London School of Economics and Political Science, London, WC2B 4RR, UK · Faculty of Informatics, Universit`a della Svizzera Italiana (USI), Lugano, 6962, Switzerland +1
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 Evaluation Algorithmic Fairness
Florida International University · Boston University, Boston, MA 02215 USA · Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India +1
Portable Causal Fairness Across Synthetic Data Generator Families
Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockAlgorithmic Fairness Synthetic Tabular Data Generation
University of Washington Tacoma
Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap
Sep 2, 2026Nirajan Kunwor, Sanjaya Poudel, Quoc-Huy Trinh +2Domain Generalization Skin Lesion Classification
Tribhuvan University · North Carolina A&T State University · Aalto University +1
Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems
Sep 2, 2026Yiran Zhao, Lu Zhou, Liming Fang +4Algorithmic Fairness AI-Assisted Decision Making
1Nanjing University of Aeronautics and Astronautics · 5Collaborative Innovation Center of Novel Software Technology and Industrialization · 2Shandong University +2
Causal Evidentiary Governance for High-Risk Machine Learning Systems
Sep 1, 2026Samah Kareem, Barış ÇeliktaşAlgorithmic Auditing Algorithmic Accountability
Department of Computer Engineering, Isik University, Istanbul, Türkiye. · Department of Computer Engineering, I¸sık University, Istanbul, Türkiye.
Collapsibility of Performance Metrics in Clinical Predictive AI
Aug 31, 2026João Matos, Ben Van Calster, Richard D. Riley +2Algorithmic Fairness Clinical Prediction
Centre for Statistics in Medicine, University of Oxford · KU Leuven · University of Birmingham +1
Fairness in multi-class multi-group classification problems via contextial coherent risk measures
Aug 31, 2026Darinka Dentcheva, Xiangyu TianAlgorithmic Fairness Multiclass Classification
Department of Mathematical Sciences · Stevens Institute of Technology · Hoboken, NJ 07030, USA +1
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 Classification Medical Imaging Foundation Models
Department of Computing, Imperial College London, UK · Causality in Healthcare AI Hub, UK · Department of Radiology, Royal Brompton Hospital, UK +1
Bias Mitigation in Face Recognition via Demographic-based Supervised Contrastive Learning
Aug 13, 2026Yu Linghu, Salman Mohammad, Xinyi Zhang +1Algorithmic Fairness Group Fairness
Department of Informatics University of Zurich
FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation
Aug 13, 2026Yuchen Zheng, Sihan Xu, Jingwen Yang +3Algorithmic Fairness Generative Recommendation
1VCIP, TMCC, DISSec, College of Computer Science, Nankai University · 2VCIP, DISSec, College of Cryptology and Cyber Science, Nankai University
A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes
Aug 11, 2026Yijin Ni, Xiaoming HuoRepresentation Learning Algorithmic Fairness
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205 USA
Do Judges Behave Like Algorithms?
Aug 11, 2026Riya Manchanda, Eric Chen, Chloe Zhu +3Legal Judgment Prediction Algorithmic Fairness
Duke University · Sungkyunkwan University
Human versus Computer Vision
Aug 10, 2026Elena SirotkinaVisual Attention Algorithmic Fairness
Center for Data Science New York University
Procedural Fairness Failures in RLHF from Preference Averaging
Aug 10, 2026M P V S Gopinadh, Karthik Kamuju, Kummari Avinash +2Reward Modeling Algorithmic Fairness
Vishnu Institute of Technology
Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study
Aug 10, 2026Valentijn Oldenburg, Floris de Kam, Stef de Wildt +1Learning to Rank Link Prediction
University of Amsterdam
CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face Analysis
Aug 10, 2026Nazia Aslam, Khalid Adnan Alsayed, Thomas B. Moeslund +1Algorithmic Fairness Intersectional Fairness
Aalborg University, Denmark · Pioneer Centre for AI, Denmark · Ducaltus Ltd., Newcastle upon Tyne, United Kingdom +1
Measuring the Tokenization Premium: A Cost Audit for Underserved Language Communities
Aug 10, 2026Avijit Roy, Proma Roy, Hrishitva PatelAlgorithmic Fairness Token Efficiency
John Jay College of Criminal Justice, City University of New York, USA · The City College of New York, City University of New York, USA · University of Texas at San Antonio, USA
A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning
Aug 9, 2026Jianhan Zhang, Jitao Wang, John D. Piette +3Causal Counterfactual Generation Algorithmic Fairness
University of Michigan · LSE
A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences
Aug 8, 2026Jobst Heitzig, Ram PothamAI Alignment Algorithmic Fairness
Potsdam Institute for Climate Impact Research, Potsdam, Germany · Independent
Beyond Aggregate Calibration: Decomposing Income-Conditional Recall Disparities in Automated Credit Default Prediction
Aug 8, 2026Sai Srikar BoddupalliAlgorithmic Auditing Algorithmic Fairness
Independent Researcher
Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation
Aug 5, 2026Mackenzie Jorgensen, Jo Reilly, Alex Sutherland +1Algorithmic Fairness Algorithmic Bias
Northumbria University, UK · University of Cambridge, UK · University of Oxford, UK
Manipulation-Proof Oblivious Audits against Deceptive Model Providers
Aug 5, 2026Augustin Godinot, Sofiane Azogagh, Julien Ferry +1Algorithmic Fairness Black-Box Model Auditing
1INRIA Centre de l’Universit´e de Rennes, France · 2EURECOM, Sophia Antipolis, France · 3CIRRELT & SCALE-AI Chair in Data-Driven Supply Chains, Department of Mathematics and Industrial Engineering, Polytechnique Montr´eal, Canada +1
Equitable System-Prompt Selection via Constrained Mixed-Strategy GroupDRO
Aug 5, 2026Mengyu Xu, Qiaoxin Yang, Zhihan Liu +4LLM Prompting Algorithmic Fairness
1The University of Chicago · 2SynAI Technologies, Inc. · 3Northwestern University +2
Variable Selection in the Context of AI Fairness
Aug 4, 2026Ivan Luciano Danesi, Chiara Frigerio, Fabio Maccaferri +2Algorithmic Fairness Group Fairness
UniCredit S.p.A., Milan, Italy. · 2Universit`a Cattolica del Sacro Cuore, Milan, Italy. · 3Cetif, Milan, Italy.
Implementing Causal Perception: Competing SCMs and Situated Fairness
Aug 4, 2026Jose M. ÁlvarezStructural Causal Models Algorithmic Fairness
Santander AI Lab, Madrid, Spain
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 Auditing Algorithmic Fairness
Department of Computer Science, University of California, Irvine, Irvine, CA, USA · University of Orléans, Orléans, France
Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning
Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenAlgorithmic Fairness Client Selection in Federated Learning
Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection
Aug 3, 2026Yaning Zhang, Jiao Wu, Zan Gao +1Algorithmic Fairness Deepfake Detection
Computer Vision Institute, School of Artificial Intelligence, Shenzhen University, Shenzhen, 518060, China · Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China · Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, 300384, China +2

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

Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu, Lu Zhang

University of Arkansas Fayetteville, AR, USA · University of North Carolina at Charlotte Charlotte, NC, USA

Classifier-Free Guidance Algorithmic Fairness Causal Abstraction T2I Diffusion Models

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Fairness auditing of text-to-image diffusion models often requires generating large numbers of images across sampling configurations, making comprehensive evaluation computationally expensive. We propose a causal-abstraction-based audit instrument for efficiently evaluating fairness under interventions on the classifier-free guidance scale. Given a fixed prompt and a target feature function, we represent the diffusion process as a low-level structural causal model and construct a corresponding high-level model over abstract denoising states. We characterize the projected causal structure, establish identifiability of the fairness-relevant interventional query, and provide sufficient conditions under which the high-level model preserves this query. A probabilistic transformer implements the high-level model as an amortized predictor of target-feature distributions across guidance scales. Experiments evaluate distributional fidelity, fairness-query accuracy, and computational efficiency. We present two auditing demonstrations: one using standard Stable Diffusion 1.5 and another using StayFair, a fairness-enhanced Stable Diffusion model, to examine their behavior across guidance scales.

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