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Cited by

• 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
• 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
• 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
• 2017FA*IR497 cited
• 2019Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance463 cited
• 2018FairGAN: Fairness-aware Generative Adversarial Networks379 cited
• 2019Fairness in Recommendation Ranking through Pairwise Comparisons369 cited
• 2023Inherent Tradeoffs in the Fair Determination of Risk Scores309 cited
• 2020Fairness in Machine Learning299 cited
• 2022A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health263 cited
• 2019Classification with Fairness Constraints232 cited
• 2022Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods230 cited
• 2018Aequitas: A Bias and Fairness Audit Toolkit208 cited
• 2018Human Perceptions of Fairness in Algorithmic Decision Making207 cited
• 2018