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Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

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References

2012Fairness through awareness3,501 cited
2014Big Data's Disparate Impact3,046 cited
2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
2015Certifying and Removing Disparate Impact1,827 cited
2013Learning Fair Representations1,126 cited
2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
2008Discrimination-aware data mining676 cited
2015Fairness Constraints: Mechanisms for Fair Classification644 cited

Cited by

2018Fairness of Exposure in Rankings607 cited
2019Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse534 cited
2017Fairness in Machine Learning: Lessons from Political Philosophy500 cited
2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
2018Learning Adversarially Fair and Transferable Representations387 cited
2019Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search382 cited

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2017Avoiding Discrimination through Causal Reasoning358 cited

2020A snapshot of the frontiers of fairness in machine learning355 cited

2022Algorithmic fairness in education301 cited

2020Fairness in Machine Learning299 cited

2020The relationship between trust in AI and trustworthy machine learning technologies296 cited

2020Towards a critical race methodology in algorithmic fairness295 cited

2022Trustworthy AI: A Computational Perspective261 cited

2019Classification with Fairness Constraints232 cited

2019A Framework for Understanding Unintended Consequences of Machine Learning226 cited

2022A clarification of the nuances in the fairness metrics landscape221 cited