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Fairness of Exposure in Rankings

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Explainable Deep Learning: A Field Guide for the Uninitiated

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Fairness testing: testing software for discrimination

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FairGAN: Fairness-aware Generative Adversarial Networks

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Discrimination Aware Decision Tree Learning

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On the apparent conflict between individual and group fairness

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Fairness in Machine Learning

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Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy

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User-oriented Fairness in Recommendation

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Aequitas: A Bias and Fairness Audit ToolkitPreprint

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Fairness in Decision-Making — The Causal Explanation Formula

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Fairness in credit scoring: Assessment, implementation and profit implications

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Trustworthy ai: A computational perspective

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From individual to group privacy in big data analytics

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An empirical characterization of fair machine learning for clinical risk prediction

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Algorithmic fairness in computational medicine

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iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

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An adversarial training framework for mitigating algorithmic biases in clinical machine learning

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Empirical Risk Minimization under Fairness ConstraintsPreprint

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Investigating the Impact of Gender on Rank in Resume Search Engines

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Interventional Fairness: Causal Database Repair for Algorithmic Fairness

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Preventing undesirable behavior of intelligent machines

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Software fairness

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Handling Conditional Discrimination

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Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification

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Crowds, Lending, Machine, and Bias

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EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

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A scoping review of artificial intelligence-based methods for diabetes risk prediction

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Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

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Fair Attribute Classification through Latent Space De-biasing

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A Survey on Trustworthy Recommender Systems

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Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression

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Sustainable MLOps: Trends and Challenges

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Algorithmic fairness datasets: the story so far

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Weakly-Supervised Disentanglement Without CompromisesPreprint

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A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers

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Policy Learning for Fairness in RankingPreprint

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Does Object Recognition Work for Everyone?Preprint

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Quantifying explainable discrimination and removing illegal discrimination in automated decision making

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Themis: automatically testing software for discrimination

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Retiring Adult: New Datasets for Fair Machine LearningPreprint

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Quantifying the Impact of User Attentionon Fair Group Representation in Ranked Lists

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Counterfactual risk assessments, evaluation, and fairness

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On the Privacy Risks of Algorithmic Fairness

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Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality

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Operationalizing individual fairness with pairwise fair representations

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How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions

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A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions

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Accuracy and fairness trade-offs in machine learning: a stochastic multi-objective approach

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Bursting the Filter Bubble: Fairness-Aware Network Link Prediction

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FAHT: An Adaptive Fairness-aware Decision Tree Classifier

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Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods

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"Ignorance and Prejudice" in Software Fairness

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'Un'Fair Machine Learning Algorithms

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Classification with No Discrimination by Preferential Sampling

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Inherent Tradeoffs in Learning Fair RepresentationsPreprint

Zhao, H., & Gordon, G. J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.08386 · Cited by 82 · see citing works

Achieving Causal Fairness through Generative Adversarial Networks

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Active Fairness in Algorithmic Decision Making

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AdaFair: Cumulative Fairness Adaptive Boosting

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Fair Bayesian Optimization

Perrone, V., Donini, M., Zafar, M. B., Schmucker, R., Kenthapadi, K., & Archambeau, C. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3461702.3462629 · Cited by 66 · see citing works

Towards Equity and Algorithmic Fairness in Student Grade Prediction

Jiang, W., & Pardos, Z. A. (2021) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3461702.3462623 · Cited by 70 · see citing works

Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions

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Probabilistic verification of fairness properties via concentration

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On the Fairness of Disentangled RepresentationsPreprint

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Establishing and evaluating trustworthy AI: overview and research challenges

Kowald, D., Scher, S., Pammer-Schindler, V., Müllner, P., Waxnegger, K., Demelius, L., Fessl, A., Toller, M., Mendoza Estrada, I. G., Šimić, I., et al. (2024) · Frontiers in Big Data · doi:10.3389/fdata.2024.1467222 · Cited by 59 · see citing works

Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination

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A survey on datasets for fairness‐aware machine learning

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Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality

Ryan, M., Antoniou, J., Brooks, L., Jiya, T., Macnish, K., & Stahl, B. C. (2021) · Science and Engineering Ethics · doi:10.1007/s11948-021-00293-x · Cited by 59 · see citing works

Fair Generative Modeling via Weak SupervisionPreprint

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Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria

Zhang, T., Zhu, T., Gao, K., Zhou, W., & Yu, P. S. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3129592 · Cited by 50 · see citing works

Improving Recommendation Fairness via Data Augmentation

Chen, L., Wu, L., Zhang, K., Hong, R., Lian, D., Zhang, Z., Zhou, J., & Wang, M. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543507.3583341 · Cited by 50 · see citing works

On the Moral Justification of Statistical Parity

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Fairness Violations and Mitigation under Covariate Shift

Singh, H., Singh, R., Mhasawade, V., & Chunara, R. (2021) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3442188.3445865 · Cited by 49 · see citing works

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

Wang, Y., Wang, X., Beutel, A., Prost, F., Chen, J., & Chi, E. H. (2021) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3447548.3467326 · Cited by 50 · see citing works

Fairness Improvement with Multiple Protected Attributes: How Far Are We?

Chen, Z., Zhang, J. M., Sarro, F., & Harman, M. (2024) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3597503.3639083 · Cited by 46 · see citing works

Tutorial on Fairness of Machine Learning in Recommender Systems

Li, Y., Ge, Y., & Zhang, Y. (2021) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3404835.3462814 · Cited by 46 · see citing works

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections

Li, P., Wang, Y., Zhao, H., Hong, P., & Liu, H. (2021) · International Conference on Learning Representations · Cited by 45 · see citing works

Analyzing the impact of missing values and selection bias on fairness

Wang, Y., & Singh, L. (2021) · International Journal of Data Science and Analytics · doi:10.1007/s41060-021-00259-z · Cited by 49 · see citing works

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

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FARF: A Fair and Adaptive Random Forests Classifier

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Conditional Learning of Fair Representations

Zhao, H., Coston, A., Adel, T., & Gordon, G. J. (2019) · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · doi:10.48550/arxiv.1910.07162 · Cited by 52 · see citing works

FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes

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Assessing trustworthy AI: Technical and legal perspectives of fairness in AI

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Fairness for Robust Log Loss Classification

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Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

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Robust Fairness Under Covariate Shift

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