Fairness in machine learning: A survey

Cited by (646)

Items 301–400 of 646

1. Machine Learning in Procurement with a View to Equity
   Ishrat Fatima, Roberto Nai, Rosa Meo · 2025 · Artificial intelligence
2. BIGFR: Bridging Individual and Group Fairness in Recommendation Systems
   Yaorui Gan, Xuemin Wang, Tieyuan Liu, Liang Chang, Qicang Gen, Yu Zeng · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
3. Guidelines for designing visualization tools for group fairness analysis in binary classification
   António Cruz, Teresa Salazar, Manuel Carvalho, Catarina Maç�ãs, Penousal Machado, Pedro Henriques Abreu · 2025 · Artificial Intelligence Review
4. Fair-mod: Fair Modular Community Detection
   Georgios Panayiotou, Matteo Magnani · 2025 · Studies in computational intelligence
5. Towards Efficient and Explainable Hate Speech Detection via Model Distillation
   Paloma Piot, Javier Parapar · 2025 · Lecture notes in computer science
6. Fair and Actionable Causal Prescription Ruleset
   Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa Roy · 2025 · Proceedings of the ACM on Management of Data
7. Fairness analysis of machine learning predictions of aggression in acute psychiatric care
   Yifan Wang, Laura Sikstrom, Robert Xiao, Zoe Findlay, Juveria Zaheer, Sean Hill, Marta M. Maslej · 2026 · npj Mental Health Research
8. Artificial intelligence discrimination: how to deal with it?
   William Niemiec, Rafael F. Borges, Dante Augusto Couto Barone · 2022
9. How Do Algorithmic Fairness Metrics Align with Human Judgement? A Mixed-Initiative System for Contextualized Fairness Assessment
   Constantin, Rares, Duck, Moritz, Alexandrov, Anton, Matosevic, Patrik, Keidar, Daphna, El-Assady, Mennatallah · 2022 · 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)
10. FACS-GCN: Fairness-Aware Cost-Sensitive Boosting of Graph Convolutional Networks
    Francisco Santos, Junke Ye, Farzan Masrour, Pang‐Ning Tan, Abdol‐Hossein Esfahanian · 2022 · International Joint Conference on Neural Networks (IJCNN)
11. Fundamental Approaches to Software Engineering
    Leen Lambers, Sebastián Uchitel · 2023 · Lecture notes in computer science
12. On the Impact of Data Quality on Image Classification Fairness
    Aki Barry, Lei Han, Gianluca Demartini · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
13. Explainable Global Fairness Verification of Tree-Based Classifiers
    Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi · 2023 · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
14. Assessing and Enforcing Fairness in the AI Lifecycle
    Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’Sullivan · 2023 · International Joint Conference on Artificial Intelligence
15. Towards comparable ratings: Exploring bias in German physician reviews
    Joschka Kersting, Falk Maoro, Michaela Geierhos · 2023 · Data & Knowledge Engineering
16. Resampling for Mitigating Bias in Predictive Model for Substance Use Disorder Treatment Completion
    Mary M. Lucas, Chia‐Hsuan Chang, Christopher C. Yang · 2023 · IEEE International Conference on Healthcare Informatics (ICHI)
17. Manipulation of sources of bias in AI device development
    Alexis Burgon, Yuhang Zhang, Berkman Sahiner, Nicholas Petrick, Kenny Cha, Ravi K. Samala · 2024 · SPIE Medical Imaging: Computer-Aided Diagnosis
18. Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate
    M. Atif Qureshi, Arjumand Younus, Simon J. Caton · 2024 · Lecture notes in computer science
19. A comparative study of pre-processing algorithms for fair classification in few labeled data context
    Willian Dihanster Gomes de Oliveira, Lilian Berton · 2024 · AI and Ethics
20. Fair-Over-Time Distributed Energy Resource Coordination
    Hannah Moring, Xavier Farrell, Johanna L. Mathieu · 2024 · Allerton Conference on Communication, Control, and Computing
21. Enhancing Business Process Models with Ethical Considerations
    Beatrice Amico, Carlo Combi, Anna Dalla Vecchia, Sara Migliorini, Barbara Oliboni, Elisa Quintarelli · 2025 · Lecture notes in business information processing
22. Dynamic environment adaptive online learning with fairness awareness via dual disentanglement
    Qiuling Chen, Ayong Ye, Chuan Huang, Fengyu Wu · 2025 · Applied Soft Computing
23. GNN’s FAME: Fairness-Aware MEssages for Graph Neural Networks
    Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto, Ernesto William De Luca · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
24. FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
    Christos Fragkathoulas, Vasiliki Papanikou, Evaggelia Pitoura, Evimaria Terzi · 2025 · Lecture notes in computer science
25. Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness
    David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu · 2024 · ACM International Conference on Information and Knowledge Management (CIKM)
26. Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods
    Alexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, H. Kenny, Ravi K. Samala · 2024 · IEEE Journal of Biomedical and Health Informatics
27. Human-Centered AI for Migrant Integration Through LLM and RAG Optimization
    Dagoberto Castellanos–Nieves, Luis García-Forte · 2024 · Applied Sciences
28. Fairness in constrained spectral clustering
    Laxita Agrawal, V. Vijaya Saradhi, Teena Sharma · 2025 · Neurocomputing
29. LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
    Lu Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng · 2025 · Proceedings of the AAAI Conference on Artificial Intelligence
30. Fairness Challenges in the Design of Machine Learning Applications for Healthcare
    Seamus Ryan, Wanling Cai, Robert Bowman, Gavin J. Doherty · 2025 · ACM Transactions on Computing for Healthcare
31. Fairness and Bias in E-commerce Recommendation Systems: A Literature Review
    Amelia Morencia Irena, Aretha Natalova Wahyudi, Irma Kartika Wairooy, Brilly Andro Makalew · 2024 · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)
32. A Systematic Review of the use of Machine Learning in the Prediction of House Pricing
    Romário Parreira Pita, Aldo Ribeiro de Carvalho, Rafaela Miranda Barbosa, Alexandre Cury, Júlia Castro Mendes · 2025 · Computational Economics
33. Personalized Learning Through AI on the Power of Tailored Education
    A. Prabhu Chakkaravarthy, Dhanalakshmi Jaganathan, D. Praveena Anjelin, C. Shieh, Mong‐Fong Horng · 2025 · Advances in computational intelligence and robotics book series
34. Mitigate discrimination caused by data bias: Learning fair representations with information reinforcement via recurrent encoding
    Jialing Cai, Fei Zhu · 2025 · Expert Systems with Applications
35. With Anchors or Not: Fairness-Aware Truss-Based Community Search on Attributed Graphs
    Xinrui Wang, Zilong Liu, Shixin Ye, Xin Huang, Hong Gao, Xiuzhen Cheng, Dongxiao Yu · 2025 · IEEE International Conference on Data Engineering (ICDE)
36. Intervention-Driven Correlation Reduction: A Data Generation Approach for Achieving Counterfactually Fair Predictors
    Dehua Zhou, Bowei Wu, Ke Wang, Qifen Yang, Yuhui Deng, Siu‐Ming Yiu · 2025 · IEEE International Conference on Data Engineering (ICDE)
37. FAIR-CARE: A comparative evaluation of unfairness mitigation approaches
    Chiara Criscuolo, Mattia Salnitri, Davide Martinenghi · 2025 · Information and Software Technology
38. Gender disparities and machine learning-based predictive modeling of school attendance disruption in somaliland: evidence from a national accessibility survey
    Jibril Abdikadir Ali, Mustafe Khadar Abdi, Tawakale Abdi Ali, Umalkhayr Abdi Jama, Abdisalam Hassan Muse, Mukhtaar Axmed Cumar · 2025 · Education and Information Technologies
39. Towards Fair Medical Risk Prediction Software
    Wolfram J. Luther, Ekaterina Auer · 2025 · Future Internet
40. Trustworthy requirements for foundation models—A comprehensive survey and roadmap
    Ping Song, Adegboyega Ojo, Edward Curry · 2025 · Engineering Applications of Artificial Intelligence
41. A theoretical model of AI bias mitigation: incentives, regulation and equilibrium
    Subhasis Bera, Ishita Bera · 2025 · Journal of Information Communication and Ethics in Society
42. A Gated Review Attention Framework for Topics in Graph-Based Recommenders
    Eduardo Ferreira da Silva, Joel Pires, Denis Robson Dantas, Mayki dos Santos Oliveira, Frederico Araújo Dur�ão · 2025 · Brazilian Symposium on Multimedia and the Web
43. Fairness-preserving framework for machine learning: data bias quantification, model evaluation, and robustness across multiple datasets
    Shahadat Uddin, Haohui Lu, Farshid Hajati · 2025 · AI and Ethics
44. Toward substantive intersectional algorithmic fairness: desiderata for a feminist approach
    Marie Mirsch, Laila Wegner, Jonas Strube, Carmen Leicht-Scholten · 2026 · AI and Ethics
45. A Bilevel Optimization Approach for Computing Synthetic Data to Mitigate Unfairness in Collaborative Machine Learning
    Changjun Wu, Frank E. Curtis, Daniel P. Robinson · 2026 · INFORMS Journal on Optimization
46. Fair principal component analysis via eigenvalue optimization
    Junhui Shen, Aaron Davis, Ding Lu, Zhaojun Bai · 2026 · BIT Numerical Mathematics
47. Pitfalls and risks of generative AI in machine learning
    Michael A. Lones · 2026 · Patterns
48. AI and prediction of criminal justice risk: revisiting the COMPAS dataset, experiments, and the problem of algorithmic bias and fairness
    Sarah Kienzle, Gissel Velarde, Brian Gannon · 2026 · AI and Ethics
49. A Comprehensive Review of End-to-End Autonomous Driving: Architectures and Emerging Trends
    Yunxing Chen, Yu Guo, Pengfei Ran, Zhijun Chen · 2026 · Actuators
50. Fairness Embedded Adaptive Recommender System: A Conceptual Framework
    Alina Popa · 2021 · International Journal of Advanced Computer Science and Applications
51. The State of Algorithmic Fairness in Mobile Human-Computer Interaction
    Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena I. Vakali, Daniele Quercia, Fahim Kawsar · 2023 · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI)
52. LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction
    Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He · 2023 · IEEE International Conference on Data Engineering (ICDE)
53. Fair Scratch Tickets: Finding Fair Sparse Networks without Weight Training
    Pengwei Tang, Wei Yao, Zhicong Li, Yong Liu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
54. Improving fairness in machine learning-enabled affirmative actions: a case study in outreach activities in healthcare
    David Barrera, Sally Brailsford, Adriane P. Chapman · 2024 · Journal of the Operational Research Society
55. A Preliminary Study to Examining Per-class Performance Bias via Robustness Distributions
    Annelot W. Bosman, Anna L. Münz, Holger H. Hoos, Jan N. van Rijn · 2024 · Lecture notes in computer science
56. FairCR – An Evaluation and Recommendation System for Fair Classification Algorithms
    Nico Lässig, Melanie Herschel, Ole Nies · 2024 · IEEE International Conference on Data Engineering (ICDE)
57. Fairness-aware Federated Minimax Optimization with Convergence Guarantee
    Gerry Windiarto Mohamad Dunda, Shenghui Song · 2024 · IEEE Conference on Artificial Intelligence (CAI)
58. Modeling Individual Fairness Beliefs and Its Applications
    Chenglong Zhang, Varghese S. Jacob, Young U. Ryu · 2024 · ACM Transactions on Management Information Systems
59. Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study
    Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker, Yiannis I. Papadopoulos · 2024 · IEEE Internet Computing
60. The Inefficiency of Achieving Fairness with Protected Attribute Suppression
    Lucas R. Aragão, Maria de Lourdes M. Silva, Javam C. Machado · 2024 · Simpósio Brasileiro de Bancos de Dados (SBBD)
61. Benchmarking with a Language Model Initial Selection for Text Classification Tasks
    Agus Riyadi, Mate Kovacs, Uwe Serdült, Victor V. Kryssanov · 2025 · Machine Learning and Knowledge Extraction
62. Fair CoVariance Neural Networks
    Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
63. AHP-Gaussian To Enhance Model Selection Based On Multiple Fairness Criteria
    Diego Minatel, Nícolas Roque dos Santos, Vinícius Ferreira, Mateus Modesto · 2024
64. Designing Human-AI System for Legal Research: A Case Study of Precedent Search in Chinese Law
    Jiarui Guan, Ruishi Zou, Jiajun Zhang, Kimpan Xin, Bingsu He, Zhuhe Zhang, Chen Ye · 2025 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
65. Artificial intelligence for cardiac imaging is ready for widespread clinical use: Pro Con debate AI for cardiac imaging
    Domenico Mastrodicasa, Marly van Assen · 2024 · BJR|Open
66. Portable fair decision making through modular approach
    Fengyu Wu, Ayong Ye, Qiuling Chen, Huang Zhang, Jing Chen · 2025 · Engineering Applications of Artificial Intelligence
67. When Predictions are More Than Predictions: Self-Fulfilling Performativity and the Road Towards Morally Responsible Predictive Systems
    Donal Khosrowi, Markus Ahlers, Philippe van Basshuysen · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
68. Representation-based fairness evaluation and bias correction robustness assessment in neural networks
    Qiaolin Qin, Benjamin Djian, Ettore Merlo, Heng Li, Sébastien Gambs · 2025 · Information and Software Technology
69. Interpretable Machine Learning for Official Statistics
    Susanne Dandl, Bernd Bischl, Ludwig Bothmann · 2025 · Society, environment and statistics
70. A survey on optimization and machine learning-based fair decision making in healthcare
    Zequn Chen, Wesley J. Marrero · 2026 · Health Care Management Science
71. FairGridSearch: A Framework to Compare Fairness-Enhancing Models
    Shih-Chi Ma, Tatiana Ermakova, Benjamin Fabian · 2023 · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
72. Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets
    Abigail Langbridge, Anthony Quinn, Robert Noel Shorten · 2024 · IEEE International Conference on Data Engineering Workshops (ICDEW)
73. Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning
    Jarren Briscoe, Assefaw Hadish Gebremedhin · 2024 · ACM International Conference on Information and Knowledge Management (CIKM)
74. Fairness in AI: How Can We Avoid Bias and Disparities in Orthopedic Applications of Artificial Intelligence?
    Karl Surmacz, Atul F. Kamath, Dave Van Andel · 2021 · Journal of Orthopaedic Experience & Innovation
75. Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research
    Elija Perrier · 2021 · arXiv (Cornell University)
76. Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
    Tianbao Yang · 2021 · arXiv (Cornell University)
77. Fairness Degrading Adversarial Attacks Against Clustering Algorithms
    Anshuman Chhabra, Adish Kumar Singla, Prasant Mohapatra · 2021 · arXiv (Cornell University)
78. Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification
    Andrew C. Pangia, Agus Sudjianto, Aijun Zhang, Taufiquar R. Khan · 2024 · SSRN Electronic Journal
79. Towards A Global AI Auditing Framework: Assessment and Recommendations
    International Panel on the Information Environment (IPIE), Benjamin Faveri, Maureen Johnson-León, Prem Sylvester, Wendy Hui Kyong Chun, Anikó Hannák, Marcelo Mendoza, Meredith Broussard, Ениколопов Рубен Сергеевич, Alondra Nelson et al. · 2025
80. CIFair: Constructing continuous domains of invariant features for image fair classifications
    Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu · 2023 · Knowledge-Based Systems
81. Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML
    Kylie Griep, Leah Stone, Stephen T. Edwards, Malik Hill, Jialin Cui, Chengyuan Liu, Qinjin Jia, Yang Song · 2023 · International Conference on Machine Learning and Natural Language Processing (MLNLP)
82. Achieving Equalized Explainability Through Data Reconstruction
    Shuang Wang, Yongkai Wu · 2024 · International Joint Conference on Neural Networks (IJCNN)
83. Fairness in artificial intelligence‐driven multi‐organ image segmentation
    Qing Li, Yizhe Zhang, Longyu Sun, Mengting Sun, Meng Liu, Zian Wang, Qi Wang, Shuo Wang, Chengyan Wang · 2024 · iRadiology
84. Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance
    Jie Zhu, Mengsha Hu, Amy Zhang, Ruoming Jin, Rui Liu · 2024 · IEEE RO-MAN
85. Charting a Fair Path: FaGGM Fairness-Aware Generative Graphical Models
    Vivian Wei Jiang, Gustavo Batista, Michael Bain · 2024 · Lecture notes in computer science
86. Fair Best Arm Identification with Fixed Confidence
    Alessio Russo, Filippo Vannella · 2024 · IEEE Conference on Decision and Control (CDC)
87. Mitigating Unfair Regression in Machine Learning Model Updates
    Irene Buselli, Anna Pallarès López, Eduard Martín Jiménez, Davide Anguita, Fabio Roli, Luca Oneto · 2024 · International Conference on Machine Learning and Applications
88. Discovering Cliques in Attribute Graphs Based on Proportional Fairness
    Y. Z. Li, Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang, Wenjie Zhang · 2025 · IEEE Transactions on Knowledge and Data Engineering
89. Evolutionary Bias Identification with Embeddings
    Arthur Buzelin, Yan Aquino, Victoria Estanislau, Pedro Bento, Lucas Dayrell, Samira Malaquias, Caio Santana, Guilherme H. G. Evangelista, Caio Souza Grossi, Pedro B. Rigueira et al. · 2025 · Lecture notes in computer science
90. Let's Be Realistic: AI-Recommender Use in a Complex Management Setting
    Jana Gonnermann-Müller, Kristina Sahling, Jennifer Haase · 2025 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
91. Towards Fair Recidivism Prediction: Addressing Bias in Machine Learning for the Greek Prison System
    Foteini Oikonomou, Eleftherios Bailis, Sotiris Bentos, Stamatis Chatzistamatis, Marianna Tzortzi, Konstantinos Kotis, Stamatis Spirou, George E. Tsekouras · 2025 · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
92. AI Safety and Fairness
    Dilli Prasad Sharma, Arash Habibi Lashkari, Mahdi Daghmehchi Firoozjaei, Samaneh Mahdavifar, Pulei Xiong · 2025 · Progress in IS
93. The Fair Game: Auditing & debiasing AI algorithms over time
    Debabrota Basu, Udvas Das · 2025 · Cambridge Forum on AI Law and Governance
94. Bias Propagation in Health AI: Measuring Pre-Training Bias and Its Effect on Machine Learning Model Outcomes
    Diego Dimer Rodrigues, Mariana Recamonde‐Mendoza · 2025
95. Reflexive co-design: A participatory design protocol for socially responsible information technology based on responsible research and innovation
    Yuri Nakao · 2025 · International Journal of Human-Computer Studies
96. Location matching on shaky grounds: Re-evaluating algorithms for refugee allocation
    Clara Strasser Ceballos, Christoph A. Kern · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
97. A Systematic Survey on Bias and Fairness in Machine Learning
    Kapil Tiwari, Nirmalya Sarkar, Kritica Bisht, Samiksha Shukla · 2025 · Lecture notes in networks and systems
98. Learning to Rank with Variable Result Presentation Lengths
    Norman Knyazev, Harrie Oosterhuis · 2025 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
99. Justiça Algorítmica: Instrumentalização, Limites Conceituais e Desafios na Engenharia de Software
    Lucas Valença, Ronnie de Souza Santos · 2025 · Anais do Workshop sobre as Implicações da Computação na Sociedade (WICS)
100. FairPM: A Taxonomy of Bias and Interventions in Process Mining
     Kate Cerqueira Revoredo, Saimir Bala, Flávia Maria Santoro · 2025 · Lecture notes in business information processing