Fairness in machine learning: A survey

Cited by (646)

Items 501–600 of 646

1. Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
   Estanislao Claucich, Sara Hooker, Diego Humberto Milone, Enzo Ferrante, Rodrigo Echeveste · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
2. Fair Causal Decision Tree
   Wenkai Chen, Hui Zhang, Chunming Yang, Bo Li, Xujian Zhao, Yi Tao Yang · 2025 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
3. Fairness-Constrained Inventory Control with Demand Learning
   Jingwen Tang, Boxiao Chen, Cong Shi, Yuan Zhou · 2025 · SSRN Electronic Journal
4. Diversity and Inclusion from an Organizational Behavior Perspective: Can AI Play a Role?
   Jon Hovland Honerud, Cathrine Seierstad, Charlotte Jonasson, Jakob Lauring · 2025 · Springer eBooks
5. From fair graphs to fair data: a DAG-based approach to mitigating bias in AI systems
   Vivian Wei Jiang, Gustavo Batista, Michael Bain · 2026 · Knowledge and Information Systems
6. Equitable Representation of Demographic Groups in Constrained Spectral Clustering
   Laxita Agrawal, V. Vijaya Saradhi, Teena Sharma · 2025 · IEEE Conference on Artificial Intelligence (CAI)
7. Demographic performance in educational data mining for medical student academic success
   2025 · Journal on Innovations in Teaching and Learning
8. Operationalising AIS Bias Management
   Rahaf Albalkhi, Jussi Leppälä, Julian A. Padget · 2025 · SSRN Electronic Journal
9. Responsible Artificial Intelligence for Healthcare: Trends, Challenges, and Opportunities
   Stephanie Baker, Euijoon Ahn · 2025 · Springer eBooks
10. FairFES - Fast Exact Sampling for Fair Classification
    Manh Khoi Duong, Nina A. Liebrand, Stefan Conrad · 2025 · Lecture notes in computer science
11. Experimental Analysis of Multi-Step Pipelines for Fair Classifications - More than the Sum of Their Parts?
    Nico Lässig, Melanie Herschel · 2025 · IEEE International Conference on Data Engineering (ICDE)
12. Comparative Analysis of Pre-Processing, Inprocessing and Post-Processing Methods for Bias Mitigation: A Case Study on Adult Dataset
    Surbhi Goyal, Pooja Pooja, Ambrish Kumar, Nandini Rathod, Anjali Verma · 2025 · International Conference on Computing for Sustainable Global Development
13. Measuring Discrimination in Decision-Making Algorithms: An Approach Based on Causal Inference
    Francesco Pauli, Roberta Pappadà · 2025 · Studies in classification, data analysis, and knowledge organization
14. Machine learning & fairness: an integrated multicriteria approach for the evaluation of supervised classifiers
    Jean‐David Fermanian, Panos Xidonas, Salvatore Corrente · 2025 · Journal of the Operational Research Society
15. Fairness Evaluation of Neural Networks Through Computational Profile Likelihood
    Benjamin Djian, Ettore Merlo, Sébastien Gambs, Rosin Claude Ngueveu · 2025 · Computational Intelligence
16. Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System
    Tianyang Xie, Yong Ge, Shuojia Guo · 2025 · ACM Transactions on Knowledge Discovery from Data
17. Towards fairer AI: Integrating psychological insights into gender bias testing
    Ruoxuan Li · 2025 · AI & Society
18. Leveraging contrastive learning to improve group and individual fairness in predictive analytics for online learning
    Zifeng Liu, Wanli Xing, Yihan Jiang, Chenglu Li, Tae Hyun Kim, Hai Li · 2025 · Journal of Computing in Higher Education
19. Equitable Diabetes Diagnosis: Tackling Ethnic and Gender Disparities
    Lívia Ruback, Luisa Felix, Ariel Soares Teles · 2025 · Simpósio Brasileiro de Bancos de Dados (SBBD)
20. Multi-Class Bias Mitigation Methods for Classification Without Discrimination
    Arthur Soares de Quadros, Sarah Magalhães, Dauberson Mol, Jessica Almeida de Lima, Alessandro Carra Vieira, Wladmir Cardoso Brandão · 2025 · SN Computer Science
21. When Variety Seeking Meets Multi-Sided Recommendation Fairness: A Consistent and Personalized Multi-Objective Optimization Framework
    Jiayi Guo, Jiangning He, Chenyan Wang, Xinran Wu · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
22. Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
    Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti · 2025 · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies
23. Balancing Fairness, Explainability, and Performance in AI-Based Credit Scoring: A Systematic Literature Review
    Rashed A. Bahlool, Nabil M. Hewahi, Wael Mohamed Elmedany · 2025 · SSRN Electronic Journal
24. FaDeRS: Fairness and Depolarization in Recommender Systems
    Rafael dos Santos, Giovanni Comarela · 2025 · Brazilian Symposium on Multimedia and the Web
25. Ethical Analysis of Large Language Models: A Comparison of GPT, DeepSeek, Claude, Gemini, LLaMA, and Qwen
    Leonidas Boutsikaris, Spyros E. Polykalas · 2025 · IEEE International Symposium on Technology and Society (ISTAS)
26. An Exploratory Analysis of Available Fairness Interventions in Open Source
    Sadia Afrin Mim, Fatema Tuz Zohra, Justin Smith, Brittany Johnson · 2025 · IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C)
27. Fairness-Driven Growth Algorithms for Multi-Sided Digital Platforms
    Durga Krishnamoorthy, Raghu K Para · 2025
28. A Fair Ensemble Clustering Method
    Yanqing Li, Ruixin Feng, Caiming Zhong · 2025 · Symmetry
29. Deep learning-based travel choice prediction with provable and adaptable fairness guarantees
    Zhiwei Chen, Yufei Xu, Srinivas Peeta · 2025 · Transportation Research Part B Methodological
30. Bias Evaluation in Contextual Machine Learning
    Anna Dalla Vecchia, Kostas Stefanidis · 2025 · Communications in computer and information science
31. A Novel Synonym-Based Attack Algorithm for Generating Undetectable Adversarial Text Examples in Machine Learning
    DhruvKumar Patel, Krishnaraj Bhat, Devesh C. Jinwala · 2025 · Lecture notes in networks and systems
32. Causal Lens on Fairness Metrics: A Minimal-Assumption Audit for Algorithmic Discrimination
    Xiaohang Zhang, Yingchun Xu, Zhengren Li, Fei Chen · 2025 · SSRN Electronic Journal
33. Predictive Models for University Dropout at UNIRIO
    Henrique Soares Rodrigues, Laura O. Moraes, Reinaldo Viana Alvares · 2025 · Anais ... Workshops do Congresso Brasileiro de Informática na Educação
34. Editorial: Special Issue on Data quality dimensions in Data FAIRification design and processes
    Anna Bernasconi, Stefano Cirillo, Alberto García S., Hazar Harmouch · 2025 · Journal of Data and Information Quality
35. Fair and Accurate Regression: Strong Formulations and Algorithms
    Anna Deza, Andrés Gómez, Alper Atamtürk · 2026 · INFORMS Journal on Optimization
36. Mitigating data center bias in cancer classification: Transfer bias unlearning and feature size reduction via conflict-of-interest free multi-objective optimization
    Farnaz Kheiri, Shahryar Rahnamayan, Masoud Makrehchi · 2026 · Artificial Intelligence in Medicine
37. Beyond aggregate fairness: intersectional auditing across the AI fairness pipeline
    Michael Mayowa Farayola, Malika Bendechache, Takfarinas Saber, Regina Connolly, Irina Tal · 2026 · AI and Ethics
38. Algorithmic fairness in context: liberty, opportunity, and well-being as ethical anchors
    Arif Perdana, Phoebe Li, Grace Wangge · 2026 · AI and Ethics
39. Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
    Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim · 2026 · Lecture notes in computer science
40. A Conceptual Framework for Critically Evaluating Integration of AI Diagnostic Support Systems into Clinical Practice
    George Khushf, Ana S. Iltis · 2025 · The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine
41. Trends and challenges in machine ethics: an updated survey of artificial moral agency implementations
    Michael Krah, Martin Tröschel · 2026 · AI and Ethics
42. Operationalizing Calibration for Fair Educational Artificial Intelligence
    Massimiliano Mancini, Donatella Merlini, M. Cecilia Verri · 2026 · Lecture notes in computer science
43. Practical Strategies for Applying the Disparate Impact Remover at Inference Time
    Mykhailo Danilevskyi, Fernando Perez Tellez, Jelena Vasić · 2026 · Conference on Human Centred Artificial Intelligence - Education and Practice (HCAIep)
44. Leveraging Artificial Intelligence to Combat Workplace Discrimination: A Technological Approach to Legislative Compliance and Gender Equality
    Keshaya, Anish Gupta, G. Premananthan, A.R. Nithya Raman, Sayfiddinov Jahongir Fakhriddin Ugli, Mahfuza Umarkulovna Tuychieva · 2025 · International Conference on Innovations and Emerging Technologies in AI & Communication Systems (IETACS)
45. A Lightweight Task Allocation Method Based on Dynamic Spatiotemporal Clustering for Mobile Crowdsensing
    Bokai Ding, Qingxian Pan, Zhanjin Li, Xinjie Xu · 2025 · International Conference on Data Science and Intelligent Systems (DSIS)
46. TabFairGDT: A Fast Fair Tabular Data Generator Using Autoregressive Decision Trees
    Emmanouil Panagiotou, Benoît Ronval, Arjun G. Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi · 2025 · Proceedings
47. Fast algorithms to improve fair information access in networks
    Dennis Robert Windham, Caroline J. Wendt, Alex Crane, Madelyn Warr, Freda Shi, Sorelle A. Friedler, Blair D. Sullivan, Aaron Clauset · 2026 · PLOS complex systems.
48. Development of a neural network for controlling the pyrolysis of dichloroethane
    Anastasiya Nikolaeva, Елена Александровна МУРАВЬЕВА · 2026 · AIP conference proceedings
49. A Cross-Cultural Comparison of LLM-Based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies
    Weihong Qi, Fan Huang, Jisun An, Haewoon Kwak · 2025 · IEEE ... International Conference on Data Mining workshops
50. Exploring demographic influences on fairness perceptions across the ML development lifecycle
    Anoop Mishra, Deepak Khazanchi, Abhishek Tripathi · 2026 · AI and Ethics
51. FairDIF: debiasing classifiers with item response theory and differential item functioning
    Diego Minatel, Antonio Rafael Sabino Parmezan, Nícolas Roque dos Santos, Mariana Luiza de Loyola Cordeiro Curi, Ricardo B. C. Prudêncio, Alneu de Andrade Lopes · 2026 · AI and Ethics
52. Tasking AI Fairly. How to Empower AI Practitioners With sXAI?
    Suzana Alpsancar, Eugenia Stamboliev · 2026 · Springer eBooks
53. Quantifying fairness in spatial predictive policing
    Diego Hernández, Cristian Pulido, Francisco A. Gómez · 2026 · Artificial Intelligence and Law
54. Fair Community Detection and Structure Learning in Heterogeneous Graphical Models
    Davoud Ataee Tarzanagh, Laura Balzano, Alfred O. Hero · 2026 · Electronic Journal of Statistics
55. Addressing interpretability fairness & privacy in machine learning through combinatorial optimization methods
    Julien Ferry · 2023
56. Algorithmic fairness analyses of supervised machine learning in education
    Mélina Verger · 2024
57. From Distribution to Contribution: Negotiating Justice Policies in Grassroots FOSS Communities
    Philip Engelbutzeder, L. G. Jahn, Anton Ballmaier, Dennis Lawo, Lea Katharina Michel, Sofi Gjing Jovanovska, David William Randall, Volker Wulf · 2026 · CHI Conference on Human Factors in Computing Systems
58. When Feasibility of Fairness Audits Relies on Willingness to Share Data: Examining User Acceptance of Multi-Party Computation Protocols for Fairness Monitoring
    Changyang He, Parnian Jahangirirad, Lin Kyi, Asia J. Biega · 2026 · CHI Conference on Human Factors in Computing Systems
59. Post-Hoc Fairness Adjustment Via Counterfactual Sensitive Attributes Learning
    Shujun Xie, Bowei Wu, Xiaoyu Zhang, K F WANG, Enhao Huang, Siu‐Ming Yiu · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
60. Industry Case Studies on Building and Governing Trustworthy AI Platforms
    Deepak Gupta, Ergashev Nuriddin Gayratovich, Asadbek Kuziev, Nozim Muminov Gaffarovich, Karlibaeva Gulshat Khojabaevna, Nasiba Eshchanova, Gafurov Anvar Bazarbayevich · 2026 · Advances in computational intelligence and robotics book series
61. Fairness at Risk: Where Bias Emerges in Machine Learning
    Otávio de Paula Albuquerque, Marcelo Fantinato, Sarajane Marques Peres · 2026 · Expert Systems
62. On Measuring Discrimination in Data: An Approach Based on Causal Inference
    Francesco Pauli, Roberta Pappadà · 2025 · Artificial Intelligence for Business (AIxB)
63. Improving Fairness in AI Systems by Integrating Diverse Perspectives with AI Agents
    Garima Natani · 2025 · Artificial Intelligence for Business (AIxB)
64. On the evaluation of algorithm fairness strategies: a use case on gender bias
    Samuel de Morais Lima, Alex Sandro da Cunha Rêgo, Damires Yluska de Souza Fernandes · 2026 · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI)
65. Evaluation of Data Quality Disparity and Implications for Fair Machine Learning
    Mohit Sharma, Pratik Mishra, Sandeep Hans, Abhijnan Chakraborty, Vijay Arya · 2026 · IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C)
66. Exploring the Impact of Fairness-Aware Criteria in AutoML
    Joana Simões, João Correia · 2026 · Lecture notes in computer science
67. Fairness Measures for Educational Datasets
    Massimiliano Mancini, Donatella Merlini, M. Cecilia Verri · 2026 · Communications in computer and information science
68. Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters
    Nan Cui, Wendy Hui Wang, Yue Ning · 2026 · Communications in computer and information science
69. The Artificial Intelligence Factory: Concept, Implementation, and Impacts
    Protima Banerjee · 2026 · Women in engineering and science
70. التحديات الأخلاقيات والقيم في استخدام التكنولوجيا الذكية
    حسين المحيميد · 2026 · الفكر الإسلامي المعاصر (إسلامية المعرفة سابقا)
71. Perseverance, Innovation, and Inclusivity in Machine and Statistical Learning
    Mina Aminghafari · 2026 · Journal of Statistical Theory and Practice
72. Task-Tailored Pre-Processing: Fair Downstream Supervised Learning
    Jinwon Sohn, Qifan Song, Guang Lin · 2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence
73. Fairness or fictions? How fintech’s algorithmic lending sustains gender inequality in the Global South
    Genevieve Smith · 2026 · Cambridge Forum on AI Culture and Society
74. Design and Evaluation of a Fairness-Aware Student Success Prediction System Using Learning Analytics Data (OULAD)
    Betty Nkem Okwedadi, Ekereuke Udoh, Edita Gashi · 2026 · International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET)
75. Context-Dependent Age-Group performance hierarchies limit fairness interventions in PPG-based heart rate prediction
    Lovely Yeswanth Panchumarthi, Saurabh Kataria, Yi Wu, Xiao Hu, Alex Fedorov, Gloria Hyunjung Kwak · 2026 · medRxiv
76. Human-centric digital decision making: A new interdisciplinary psycho-legal assessment framework
    Anouk Decuypere, Anne Van de Vijver · 2026 · Ethics and Information Technology
77. Proxy Analysis in Bias Testing
    Lynda Djennane, Zsolt T. Kardkovács, Boualem Benatallah, Yacine Gaci, Zoubeyr Farah · 2026 · Lecture notes in computer science
78. Explainable Human-AI Framework for Sustainable Multi-Objective Policy Design
    Mahra AlSuwaidi, Meera Almansoori, Ahed Abugabah · 2026 · Student Research Conference on Applied Computing (SRC)
79. Cognitive-Driven AI Ecosystems: Synthesizing Ethical, Inclusive, and Human-Oriented Approaches for Transparent, Robust, and Responsible Intelligent Systems
    Jesanul Islam Arnob, Amit Karmokar, Swapnil Tarafdar, Sumona Afroz, Sumon Ahemed, Md. Ashrafuzzaman · 2026 · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
80. Beyond Realism: A Utility-Fidelity-Privacy Framework for Trustworthy Synthetic Data
    Hemn Barzan Abdalla, Yulia Kumar, J . Jenny Li, Dov Kruger, Kennedy E. Ehimwenma · 2026 · Journal of Data and Information Science
81. Towards Pareto Efficiency in Fair Facial Expression and Action Unit Recognition
    Tangzheng Lian, Oya Çeliktutan · 2026 · International Conference on Automatic Face and Gesture Recognition
82. On the Interplay of Explainability and Fairness in AI: A Survey
    Christos Fragkathoulas, Vasiliki Papanikou, Danae Pla Karidi, Evaggelia Pitoura · 2026 · IEEE Transactions on Knowledge and Data Engineering
83. Fairness under uncertainty in sequential decisions
    Michelle Seng Ah Lee, Kirtan Shyamal Padh, David Watson, Niki Kilbertus, Jatinder Pal Singh · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
84. Analysis of Performance and Fairness of Classification Algorithms with Class and Protected Attribute Noise
    Ana Vargas, Rosa Delgadillo · 2026 · Journal of the Brazilian Computer Society
85. FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
    Xenia Heilmann, Luca Corbucci, Mattia Cerrato, A. Monreale · 2025 · Conference on Fairness, Accountability and Transparency
86. The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice
    Emily Black, Miranda Bogen, Logan Koepke, Solon Barocas, Wesley Hanwen Deng, Mingwei Hsu · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
87. Rashomon Sets and Model Multiplicity in Federated Learning
    Xenia Heilmann, Luca Corbucci, Mattia Cerrato · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
88. Options Without Agency: Diversity as a Requirement for Fair Actionable Recourse
    Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Elke Angelika Rundensteiner · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
89. Privilege Scores
    Ludwig Bothmann, Philip A. Boustani, José M. Álvarez, Giuseppe Casalicchio, Bernd Bischl, Susanne Dandl · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
90. Evaluating algorithmic fairness in the performance of the AHA PREVENT equations versus pooled cohort equations among single-race and multiracial populations
    Adrian Matias Bacong, Xiaowei Yan, Qiwen Huang, Hannah M. Husby, Jiang Li, Pragati Kenkare, Fátima Rodríguez, Latha P Palaniappan · 2026 · American Journal of Preventive Cardiology
91. Designing Fair LLM-Based Matching Systems: A Multi-level Framework for Bias Identification and Mitigation
    Yannik Langer, Christian Nguyen, Mahsa Fischer · 2026 · Lecture notes in computer science
92. Embedding ethical and safety constraints into data-driven optimization for computational engineering systems
    Babu George · 2026 · Machine learning for computational science and engineering
93. An Explainable Hybrid Fuzzy-Neural System for Predicting Student Performance and At-Risk Classification
    Noha A. El-Shoafy, Ahmed Ayman, Omar Mohamed, Mariam Waleed, Aya Nour-Eldeen · 2026 · International Conference on Machine Intelligence and Smart Innovation (ICMISI)
94. Reimagining work in the age of AI: a multilevel review of individual, organizational, and societal dynamics
    Pingqing Liu, Ping Zhu, Yunyun Emily Yuan, Furao Zhao, Bin Liu · 2026 · Current Psychology
95. StackingNet: Collective Inference Across Independent AI Foundation Models
    Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding · 2026 · Advanced Science
96. Individual Fairness Testing in Fairness through Unawareness
    Taisei Kuma, Takashi Kitamura, Shingo Takada · 2026 · IEEE International Conference on Software Testing, Verification and Validation (ICST)
97. Fabricated Foundations
    Deepak Gupta, Mohinakhon Khamidova, Jamol Norov, Feruza Rakhmonkulova, Nozim Muminov Gaffarovich, Anorgul I. Ashirova, Shavkat Babayev Bayramovich · 2026 · Advances in computational intelligence and robotics book series
98. Measuring complex constructs in large-scale text with computational social mixed methods
    Alina Herderich, Jana Lasser, Mirta Galešić, Segun Aroyehun, David García, Joshua Garland · 2026 · Behavior Research Methods
99. Can AI Be Fair?
    Yi-Chieh Lee, Jingshu Li, Renwen Zhang, Nan Liu · 2026 · Cambridge University Press eBooks
100. Knowledge Discovery from Urban Trajectory Data: A Survey
     Isadora Bianca Siza Tribuzy Toledo da Silva, Lailla M. S. Bine, João Batista Borges, Aline Carneiro Viana, Heitor S. Ramos, Antônio A. F. Loureiro · 2026 · ACM Computing Surveys