References

• 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
• 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
• 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
• 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
• 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
• 2008Discrimination-aware data mining676 cited
• 2017On Fairness and Calibration509 cited
• 2018Learning Adversarially Fair and Transferable Representations387 cited
• 2012Decision Theory for Discrimination-Aware Classification300 cited
• 2018The cost of fairness in binary classification190 cited
• 2019Discovering Fair Representations in the Data Domain108 cited
• 2019Inherent Tradeoffs in Learning Fair Representations78 cited
• 2018The implicit fairness criterion of unconstrained learning