References

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• 2014Big Data's Disparate Impact3,046 cited
• 2016Equality of Opportunity in Supervised Learning2,535 cited
• 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
• 2015Certifying and Removing Disparate Impact1,827 cited
• 2011Data preprocessing techniques for classification without discrimination1,304 cited
• 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
• 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
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• 2017Measuring discrimination in algorithmic decision making273 cited
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• 2016On the (im)possibility of fairness247 cited
• 2016Fairness in Learning: Classic and Contextual Bandits199 cited
• 2019Designing Fair Ranking Schemes159 cited
• 2018A Nutritional Label for Rankings102 cited
• 2021Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems