Algorithmic Fairness

Momentum

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 275

All topics
CardsList
  1. 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 +1AI Risk ManagementAlgorithmic Auditing

  2. Fairness Auditing: Lower Bounds on Company Manipulation

    Aug 1, 2026Rachit Verma, Padala Manisha, Sujit GujarAlgorithmic AuditingAlgorithmic Fairness

  3. Inference-Time Policy Alignment for Fair Reinforcement Learning

    Jul 31, 2026Umer Siddique, Peilang Li, Conor Wallace +1Algorithmic FairnessInference-Time Guidance

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

    Jul 31, 2026Yu Wang, Violet Xinying ChenFair Resource AllocationAlgorithmic Fairness

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

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

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

    Jul 30, 2026Sparsh Roy, Samuel Girmachew, Nishita ChavanDistribution Shift RobustnessAlgorithmic Fairness

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

    Jul 27, 2026Nicole Hu, Mingtao Zhang, Haoyang LI +2Algorithmic FairnessVehicle Routing

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

    Jul 26, 2026Shakti Sharma, Rahul MeshramSequential Decision MakingFair Resource Allocation

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

    Jul 23, 2026Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini +2VLM UnlearningAlgorithmic Fairness

  10. A Framework for Reputation Aware Uninorm-driven Consensus Algorithms for Blockchain Networks

    Jul 22, 2026Bruno Ramos-Cruz, Javier Andreu-Perez, David Richerby +1Algorithmic Fairness

  11. Evaluating and Mitigating Gender Bias in Pre-trained Embeddings for ML-based Recruitment

    Jul 22, 2026Farnaz Faramarzi Lighvan, Lynn HouthuysGender Bias in Language ModelsAlgorithmic Fairness

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

    Jul 20, 2026Kyungseon Lee, Hankyo Jeong, Kunwoong Kim +2ClusteringAlgorithmic Fairness

  13. Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers

    Jul 16, 2026Mahmoud Ibrahim, Bart Elen, Chang Sun +2Synthetic Data PretrainingAlgorithmic Fairness

  14. Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics

    Jul 16, 2026Yuchang Zhu, Zezhong Xie, Huizhe Zhang +4Graph Neural NetworksAlgorithmic Fairness

  15. Auditing Fairness-Privacy Trade-offs: Subpopulation-Level Effects of Fairness-Enhancing Algorithms

    Jul 16, 2026Umid Suleymanov, Ilhama Novruzova, Khalid Mammadov +2Privacy AuditingMembership Inference Attacks

  16. Price of Fairness in Bandits: A Tight Minimax Characterization

    Jul 15, 2026Dhruv Sarkar, Soumyadeep Dutta, Sayak Ray ChowdhuryMulti-Armed BanditsMinimax Regret

  17. Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

    Jul 14, 2026Héctor Carrión, Narges NorouziSkin Lesion ClassificationSynthetic Data Augmentation

  18. Vertical Standardisation for High-Risk AI Systems under the EU AI Act: A Domain-Specific Framework for Algorithmic Hiring

    Jul 14, 2026Anna Gatzioura, Vrettos Moulos, Nina BaranowskaAI-Assisted Decision MakingAlgorithmic Fairness

  19. Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing

    Jul 10, 2026Sujay Uday RittikarTime Series ForecastingAlgorithmic Fairness

  20. FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness

    Jul 9, 2026Nick Souligne, Isabella Mixton-Garcia, Vignesh SubbianAlgorithmic FairnessGroup Fairness

  21. False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation

    Jul 8, 2026Linus Juni, Aasa Feragen, Aditya ParikhAlgorithmic FairnessMedical Image Segmentation

  22. Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data

    Jul 8, 2026Vinícius Gabriel Angelozzi, Héber H. ArcoleziAlgorithmic FairnessGroup Fairness

  23. Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Jul 7, 2026Sangwon Jung, Sumin Yu, Sanghyuk Chun +1Algorithmic FairnessCounterfactual Fairness

  24. Whose fairness? Structural concentration in AI bias research

    Jul 6, 2026Abhash Shrestha, Subigya Gautam, Anu Sapkota +2Algorithmic FairnessAlgorithmic Bias

  25. Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms

    Jul 6, 2026Lea Multerer, Michele Inchingolo, David Kletz +3Algorithmic FairnessCounterfactual Fairness

  26. Directly Optimizing Mean Demographic Parity for Nonlinear Regression

    Jul 6, 2026Ieva Petrulionyte, Julien Mairal, Michael ArbelAlgorithmic FairnessGroup Fairness