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Cited by

• 2019Improving Fairness in Machine Learning Systems893 cited
• 2021A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle893 cited
• 2023Algorithmic fairness in artificial intelligence for medicine and healthcare858 cited
• 2023Fairness in Machine Learning: A Survey795 cited
• 2019Actionable Auditing697 cited
• 2022Trustworthy AI: From Principles to Practices671 cited
• 2021Ethical Machine Learning in Healthcare670 cited
• 2019Can AI Help Reduce Disparities in General Medical and Mental Health Care?405 cited
• 2020A snapshot of the frontiers of fairness in machine learning362 cited
• 2019The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric40 cited
• 2020A Geometric Solution to Fair Representations35 cited
• 2021Algorithm Fairness in AI for Medicine and Healthcare30 cited
• 2019Transfer of Machine Learning Fairness across Domains28 cited
• 2022Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values25 cited
• 2020Achieving Equalized Odds by Resampling Sensitive Attributes