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Identifying and Correcting Label Bias in Machine Learning

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References

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
2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
2011Data preprocessing techniques for classification without discrimination1,304 cited
2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
2013Learning Fair Representations1,126 cited
2008Discrimination-aware data mining676 cited
2015Fairness Constraints: Mechanisms for Fair Classification644 cited
2017On Fairness and Calibration509 cited
2009Classifying without discriminating403 cited
2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
2018A Reductions Approach to Fair Classification364 cited
2023Inherent Tradeoffs in the Fair Determination of Risk Scores

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309 cited

Cited by

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