A statistical framework for fair predictive algorithms

Abstract

Statistical and machine learning algorithms are increasingly used to inform decisions that have large impacts on individuals’ lives. Examples include hiring [8], predictive policing [13], pre-trial risk assessment of recidivism[6, 2], and risk of violence while incarcerated [5]. In many of these cases, the outcome variable to which the predictive models are… (More)

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