References

• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
• 2012Fairness through awareness3,501 cited
• 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
• 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
• 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
• 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
• 2010Three naive Bayes approaches for discrimination-free classification756 cited
• 2015Automated Experiments on Ad Privacy Settings664 cited
• 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
• 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
• 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited