Fairness in machine learning: A survey

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Items 201–300 of 646

1. Labor, Power, and Belonging: The Work of Voice in the Age of AI Reproduction
   Shm Garanganao Almeda, Robin Netzorg, Isabel Li, Ethan Tam, Skyla Ma, Bob Tianqi Wei · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
2. Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
   Sulaiman O Afolabi, Leila Gheisi, Jing Shan, Lucy Q. Shen, Mengyu Wang, Min Yan Shi · 2025 · npj Digital Medicine
3. Guiding artificial intelligence in public health and medicine with epidemiology: A lifecycle framework for mitigating AI misalignment
   Ahmed Hassoon, Christine F. Lin, H. Woo, Ruxandra Maria Irimia, Jill A. Marsteller, Anthony Li, Antonio Banderia, Hubert Leo, Xiaoyi Peng, David P. W. Rastall et al. · 2025 · Annals of Epidemiology
4. Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review
   João Carlos Ramos Gonçalves de Matos, Ben VAN CALSTER, Leo Anthony Celi, Paula Dhiman, Judy Wawira Gichoya, Richard D Riley, Chris Russell, Sara Khalid, Professor Gary S. Collins · 2026 · The Lancet Digital Health
5. Learning Optimal Fair Scoring Systems for Multi-Class Classification
   Julien Rouzot, Julien Ferry, Marie‐José Huguet · 2022 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
6. Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing
   Danilo Franco, Vincenzo D’Amato, Luca Pasa, Nicolò Navarin, Luca Oneto · 2023 · Neurocomputing
7. Fair Transition Loss: From label noise robustness to bias mitigation
   Ygor Canalli, Filipe Braida, Leandro G.M. Alvim, Geraldo Zimbrão · 2024 · Knowledge-Based Systems
8. CosPer: An adaptive personalized approach for enhancing fairness and robustness of federated learning
   Pengcheng Ren, Kaiyue Qi, Jialin Li, Tongjiang Yan, Qiang Dai · 2024 · Information Sciences
9. FairDRO: Group fairness regularization via classwise robust optimization
   Taeeon Park, Sangwon Jung, Sanghyuk Chun, Taesup Moon · 2024 · Neural Networks
10. An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT
    Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier · 2023 · Lecture notes in computer science
11. Contrastive Explanations for Explaining Model Adaptations
    André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer · 2021 · Lecture notes in computer science
12. Measuring Fairness in Generative Models
    Christopher T. H. Teo, Ngai Man Cheung · 2021 · arXiv (Cornell University)
13. FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms
    Guoli Wu, Zhiyong Feng, Shizhan Chen, Hongyue Wu, Xiao Xue, Jianmao Xiao, Guodong Fan, Hongqi Chen, Jingyu Li · 2024 · IEEE Transactions on Knowledge and Data Engineering
14. Design Challenges for Scam Prevention Tools to Protect Neurodiverse and Older Adult Populations
    Pragathi Tummala, Hannah Choi, Anuridhi Gupta, Tomas A Lapnas, Yoo Sun Chung, Matthew Peterson, Géraldine Walther, Hemant Purohit · 2024 · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
15. Accounting for racial bias and social determinants of health in a model of hypertension control
    Yang Hu, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis · 2025 · BMC Medical Informatics and Decision Making
16. Exploring the values underlying machine learning research in medical image analysis
    John S. H. Baxter, Roy A. Eagleson · 2025 · Medical Image Analysis
17. EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
    Lin Kai Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf · 2025 · Proceedings of the ACM on Human-Computer Interaction
18. Formalising Anti-Discrimination Law in Automated Decision Systems
    Holli Sargeant, Måns Magnusson · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
19. Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning
    Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie‐José Huguet, Mohamed Siala · 2025 · Computational Intelligence
20. Understanding the development, performance, fairness, and transparency of machine learning models used in child protection prediction: A systematic review
    Claudia F. Bull, Steve R Kisely, Kim Steven Betts, Yanan Hu · 2025 · Child Abuse & Neglect
21. A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services
    Matteo Cederle, Luca Vittorio Piron, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto · 2025 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
22. AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery
    Julia Ive, Olatomiwa Olukoya, Jonathan Perry Funnell, James Booker, Sze H. M. Lam, Ugan Reddy, Kawsar Noor, Richard Dobson, Astri M.V. Luoma, Hani Joseph Marcus · 2025 · npj Digital Medicine
23. A framework for ethical AI-HRM development and use
    Jason Davidson, Jerry C. Schnepp, Hilary G. Buttrick, Ankur Gupta · 2025 · AI and Ethics
24. Digital prejudices: an analysis of gender, racial and religious biases in generative AI chatbots
    Alton Y.K. Chua, Miaomiao Chen, Michelle Kan, Winifred Seoh · 2025 · Internet Research
25. FAIR: A Design Theory for Artificial Intelligence Fairness
    Arun Rai, Jing Tian, Ling Xue · 2026 · MIS Quarterly
26. Algorithmic fairness in social context
    Yunyou Huang, Wenjing Liu, Wanling Gao, Xiangjiang Lu, Xiaoshuang Liang, Zhengxin Yang, Hongxiao Li, Li Ma, Suqin Tang · 2023 · BenchCouncil Transactions on Benchmarks Standards and Evaluations
27. Demographic Fairness Transformer for Bias Mitigation in Face Recognition
    Ketan Kotwal, Sébastien Marcel · 2024 · IEEE International Joint Conference on Biometrics (IJCB)
28. Iterative Application of UMAP-Based Algorithms for Fully Synthetic Healthcare Tabular Data Generation
    Carla Lázaro, Cecilio Ángulo · 2024 · Algorithms
29. Adversarial Reweighting for Speaker Verification Fairness
    Minho Jin, Chelsea J.‐T. Ju, Zeya Chen, Yi Chieh Liu, Jasha Droppo, Andreas Stolcke · 2022 · Interspeech (USB)
30. Bias On Demand: Investigating Bias with a Synthetic Data Generator
    Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli · 2023 · International Joint Conference on Artificial Intelligence
31. Fundamental Rights and AI Impact Assessment: a proposal for a new quantitative approach
    Nicole Inverardi, Samuele Bertaina, Ilaria Biganzoli, Andrea Cosentini, R. Desiante, Dario Fontanella, Ilaria Giuseppina Penco · 2024 · International Joint Conference on Neural Networks (IJCNN)
32. Can Active Learning Preemptively Mitigate Fairness Issues?
    Frederic Branchaud-Charron, Parmida Atighehchian, Pau Rodr'iguez, Grace Abuhamad, Alexandre Lacoste · 2021 · arXiv.org
33. Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)
    2022
34. FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction
    Xiaotan Sun, Makiya Nakashima, Christopher T Nguyen, Po‐Hao Chen, W.H. Wilson Tang, Deborah H. Kwon, David J. Chen · 2025 · Journal of the American Medical Informatics Association
35. Role of Multi-modal Machine Learning, Explainable AI and Human-AI Teaming in Trusted Intelligent Systems for Remote Digital Towers
    Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Waleed Jmoona, Ricky Stanley D’Cruze, Alexandre Veyrié, Sara Kebir, Christophe Hurter · 2024 · Artificial Intelligence and Cloud Computing Conference (AICCC)
36. A Human-in-the-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
    Martin Käppel, Julian Neuberger, Felix Möhrlein, Sven Weinzierl, Martin Matzner, Stefan Jablonski · 2025 · Lecture notes in computer science
37. Deduplicated Sampling On-Demand
    Luca Zecchini, Vasilis Efthymiou, Felix Naumann, Giovanni Simonini · 2025 · Proceedings of the VLDB Endowment
38. Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring
    Mesut Kaya, Toine Bogers · 2025 · ACM Conference on Recommender Systems (RecSys)
39. Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data
    Lisa Pilgram, Samer El Kababji, Dan Liu, Khaled El Emam · 2025 · Journal of the American Medical Informatics Association
40. Addressing the balance between fairness and performance in glioma grade prediction using bias mitigation techniques
    Raquel Sánchez-Marqués, Vicente García, J. Salvador Sánchez · 2026 · Scientific Reports
41. Towards Generalised and Incremental Bias Mitigation in Personality Computing
    Jian Jiang, Viswonathan Manoranjan, Hanan Salam, Oya Çeliktutan · 2024 · IEEE Transactions on Affective Computing
42. Latent space bias mitigation for predicting at-risk students
    Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen · 2024 · Computers and Education Artificial Intelligence
43. Evaluation of Fairness in Machine Learning Models using the UCI Adult Dataset
    Lucas Sena, Javam C. Machado · 2024 · Simpósio Brasileiro de Bancos de Dados (SBBD)
44. Cooperation and Fairness in Multi-Agent Reinforcement Learning
    Jasmine Jerry Aloor, Siddharth Nagar Nayak, Sydney I. Dolan, Hamsa Balakrishnan · 2024 · ACM Journal on Autonomous Transportation Systems
45. Fairness testing for uplift models
    Victor S. Y. Lo, Yourong Xu, Zhuang Li, Melinda Thielbar · 2024 · Journal of Marketing Analytics
46. A Novel BiGRU-Attention Model for Predicting Corn Market Prices Based on Multi-Feature Fusion and Grey Wolf Optimization
    Feng Yang, Xiaonan Hu, Songsong Hou, Yan Qin Guo · 2025 · Agriculture
47. Irrationality-Aware Human Machine Collaboration: Mitigating Alterfactual Irrationality in Copy Trading
    Zhe Shen, Wei Jiang, Zhiqiang Zheng · 2025 · Information Systems Research
48. Mitigating bias in facial analysis systems by incorporating label diversity
    Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse · 2023 · Computers & Graphics
49. Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes
    Shaina Raza, Syed Raza Bashir · 2023 · IEEE International Conference on Healthcare Informatics (ICHI)
50. Long-Term Fair Decision Making through Deep Generative Models
    Yaowei Hu, Yongkai Wu, Lu Zhang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
51. Probing into the Fairness of Large Language Models: A Case Study of ChatGPT
    Yunqi Li, Lanjing Zhang, Yongfeng Zhang · 2024 · Conference on Information Sciences and Systems
52. Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare
    Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan et al. · 2024 · IEEE International Conference on Data Engineering (ICDE)
53. Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models
    Michael Mayowa Farayola, Malika Bendechache, Takfarinas Saber, Regina Connolly, Irina Tal · 2024 · International Conference on Availability, Reliability and Security (ARES)
54. Patra ModelCards: AI/ML Accountability in the Edge-Cloud Continuum
    Sachith Withana, Beth Plale · 2024 · IEEE International Conference on eScience
55. Examining fairness in machine learning applied to support families: A case study of preventive services
    Eunhye Ahn, Yadira Tejeda, Yuanyuan Yang · 2024 · Family Relations
56. Exploring the Inequitable Impact of Data Missingness on Fairness in Machine Learning
    Sitao Min, Hafiz Salman Asif, Jaideep S. Vaidya · 2025 · IEEE Intelligent Systems
57. Trustworthy Machine Learning: From Data to Models
    Bo Han, Jiangchao Yao, Tongliang Liu, Bo Li, Sanmi Koyejo, Feng Liu · 2025 · Foundations and Trends® in Privacy and Security
58. When Do Customers Perceive Artificial Intelligence as Fair? An Assessment of AI-based B2C E-Commerce Services
    Helena Weith, Christian Matt · 2022 · Hawaii International Conference on System Sciences (HICSS)
59. Whose interests will AI serve? Autonomous agents in infrastructure use
    Arend Hintze, Peter T. Dunn · 2022 · Journal of Mega Infrastructure & Sustainable Development
60. Measuring Bias and Fairness in Multiclass Classification
    Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong · 2022 · IEEE International Conference on Networking, Architecture and Storage (NAS)
61. Evolving Towards a Trustworthy AIEd Model to Predict at Risk Students in Introductory Programming Courses
    Keith Quille, Lidia Vidal‐Meliá, Keith E. Nolan, Aidan Mooney · 2023 · Conference on Human Centred Artificial Intelligence - Education and Practice (HCAIep)
62. Fair Clustering Using Antidote Data
    Anshuman Chhabra, Adish Kumar Singla, Prasant Mohapatra · 2021 · arXiv (Cornell University)
63. Navigating Fairness in AI-based Prediction Models: Theoretical Constructs and Practical Applications
    Siri Lise van der Meijden, Yuqing Wang, M. Sesmu Arbous, Bart F. Geerts, Ewout Willem Steyerberg, Tina Hernandez‐Boussard · 2025 · medRxiv
64. Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection
    Mary M. Lucas, Mario Schootman, Jonathan A. Laryea, Sonia Tewani Orcutt, Chenghui Li, Jun Ying, Jennifer A. Rumpel, Christopher C. Yang · 2024 · JCO Clinical Cancer Informatics
65. Recovering Traceability Links Between Code and Documentation: A Retrospective
    Giuliano Antoniol, Gerardo Canfora, Gerardo Casazza, Andrea De Lucia, Ettore Merlo · 2025 · IEEE Transactions on Software Engineering
66. Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
    Zhao Tian, Minghua Ma, Max Hort, Federica Sarro, Hongyu Zhang, Junjie Chen · 2025 · ACM Transactions on Software Engineering and Methodology
67. Exploring the boundaries of AI regulatory sandboxes under the AI Act: Flexibility and real-world testing
    Nathan Genicot, Thiago Guimaraes Moraes · 2025 · Cambridge Forum on AI Law and Governance
68. Neural Connected Kernel based Multiple Kernel Clustering
    Jiangyuan Wang, Qiong Liu, Mingjie Cai, Weiping Ding · 2025 · Information Fusion
69. Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory
    Ziyuan Gu, Qi Hong, Zhen Zhou, Xin Geng, Zhiyuan Liu, Mo Jia · 2025 · IEEE Transactions on Knowledge and Data Engineering
70. Quantifying Device Type and Handedness Biases in a Remote Parkinson's Disease AI‐Powered Assessment
    Tumpa, Zerin Nasrin, Zawad, Md Rahat Shahriar, Sollis, Lydia, Parab, Shubham, Chen, Irene Y., Washington, Peter · 2025 · npj Digital Medicine
71. Scoping review of multimodal sentiment analysis and summarization: State of the art, challenges and future directions
    Magaly Lika Fujimoto, Ricardo Marcondes Marcacini, Solange Oliveira Rezende · 2025 · Information Fusion
72. Collaborative artificial intelligence for the diagnosis and management of acute ischemic stroke
    Zhiqiang Fan, Qian Chen, Wang Lu, Zhu Yao, S S Yang, Hongting Zhao, Hua Cao · 2025 · Annals of Medicine
73. Toward Fair and Accurate Cross-Domain Medical Image Segmentation: a Vlm-Driven Active Domain Adaptation Paradigm
    Hongqiu Wang, Wu Chen, Xiangde Luo, Zhaohu Xing, Lihao Liu, Jing Qin, Shaozhi Wu, Lei Zhu · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
74. Fairness-Aware Graph Neural Networks for ICU Length of Stay Prediction in IoT-Enabled Environments
    Angelos-Christos Maroudis, Konstantina N. Karathanasopoulou, Charithea Stylianides, George J. Dimitrakopoulos, Andreas S. Panayides · 2025 · IEEE Access
75. Braess’s Paradox of Generative AI
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76. Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness
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77. FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
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78. Fair Text Classification with Wasserstein Independence
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79. The Effect of Data Missingness on Machine Learning Predictions of Uncontrolled Diabetes Using All of Us Data
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80. Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems
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81. Investigating and Mitigating the Performance–Fairness Tradeoff via Protected-Category Sampling
    Gideon Popoola, John W. Sheppard · 2024 · Electronics
82. Methodological approaches in developing and implementing digital health interventions amongst underserved women
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83. Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production
    Patrick Oliver Schenk, Christoph A. Kern · 2024 · AStA Wirtschafts- und Sozialstatistisches Archiv
84. Correlation-based methods for representative fairness metric selection: An empirical study on efficiency and caveats in model evaluation
    Rafael B. Loureiro, Tiago Palma Pagano, Fernanda Vitoria Nascimento Lisboa, Lian Filipe Santana Nascimento, Ewerton L. S. Oliveira, Ingrid Winkler, Erick Giovani Sperandio Nascimento · 2025 · Expert Systems with Applications
85. FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
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86. Increasing trust and fairness in machine learning applications within the mortgage industry
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87. Critical, but constructive: defining, detecting, and addressing bias in Computational Social Science
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88. Utilization of Computable Phenotypes in Electronic Health Record Research: A Review and Case Study in Atopic Dermatitis
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89. The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering*
    David Carlson, Ricardo Chavarriaga, Yiling Liu, Fabien Lotte, Bao‐Liang Lu · 2025 · Journal of Neural Engineering
90. FairForensics: mitigating attribute bias in deepfake detection by integrating texture and attribute features
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91. Gender Fairness of Machine Learning Algorithms for Pain Detection
    Dylan Green, Yuting Shang, Jiaee Cheong, Yang Merik Liu, Hatice Güneş · 2025 · International Conference on Automatic Face and Gesture Recognition
92. FairEduNet: a novel adversarial network for fairer educational dropout prediction
    Rong Gao, Qin Ni · 2025 · Scientific Reports
93. Optimizing and Tuning Fairness in Machine Learning: An Augmented Lagrangian Method with a Performance Budget
    Michele Fontana, Francesca Naretto, Anna Monreale · 2025 · Lecture notes in computer science
94. Foundation models: Insights and implications for gastrointestinal cancer
    Lei Shi, Rui Huang, Li-Ling Zhao, An-Jie Guo · 2025 · World Journal of Gastroenterology
95. Fairness via Fuzzy Systems: Analysis of Accuracy–Fairness Tradeoff by Multiobjective Fuzzy Genetics-Based Machine Learning
    Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima · 2025 · IEEE Transactions on Fuzzy Systems
96. Only Subsets Matters: The Effect of Dual Fairness Constraints in Speech Emotion Recognition
    Woan-Shiuan Chien, Chi-Chun Lee · 2026 · IEEE Transactions on Affective Computing
97. Mitigating algorithmic bias in credit scoring support systems through adversarial learning
    Junye Lin, Liping Yang · 2026 · Decision Support Systems
98. The Significance of Enhancing Data Fairness in Educational Recommender Systems
    Alexandra Vultureanu‐Albişi, Costin Bădică · 2023 · RoEduNet Conference: Networking in Education and Research (RoEduNet)
99. Fairness Definitions in Language Models Explained
    Zhipeng Yin, Zichong Wang, Avash Palikhe, Wenbin Zhang · 2026 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
100. Surrogate Modeling to Address the Absence of Protected Membership Attributes in Fairness Evaluation
     Serdar Kadıoğlu, Melinda Thielbar · 2024 · ACM Transactions on Evolutionary Learning and Optimization