References

• 2012Fairness through awareness3,545 cited
• 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
• 2013Learning Fair Representations1,155 cited
• 2018The accuracy, fairness, and limits of predicting recidivism1,123 cited
• 2019A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective1,013 cited
• 2017Fairness Beyond Disparate Treatment & Disparate Impact988 cited
• 2015Fairness Constraints: Mechanisms for Fair Classification713 cited
• 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
• 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness446 cited
• 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
• 2020On the apparent conflict between individual and group fairness312 cited
• 2018Human Perceptions of Fairness in Algorithmic Decision Making207 cited
• 2018A Unified Approach to Quantifying Algorithmic Unfairness205 cited
• 2018Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning184 cited
• 2016The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making