References

• 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
• 2016Equality of Opportunity in Supervised Learning2,535 cited
• 2023Algorithmic fairness in artificial intelligence for medicine and healthcare747 cited
• 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
• 2020Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities274 cited
• 2023Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care274 cited
• 2018The cost of fairness in binary classification190 cited
• 2018Why Is My Classifier Discriminatory?186 cited
• 2020Algorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs106 cited
• 2019Inherent Tradeoffs in Learning Fair Representations78 cited
• 2022Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model73 cited
• 2019Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing71 cited
• 2023Survey on fairness notions and related tensions38 cited

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