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Differential prediction and disparate impact of pretrial risk assessments in practice: a multi-site evaluation

NCJ Number
304161
Journal
Journal of Experimental Criminology Dated: 2022
Author(s)
Evan M. Lowder; Carmen L. Diaz; Eric Grommon; Bradley R. Ray
Date Published
January 2022
Annotation

This study conducted a multi-site, retrospective investigation of predictive bias and disparate impact post-implementation of the Indiana Risk Assessment System-Pretrial Assessment Tool (IRAS-PAT).

Abstract

Black and white defendants who received IRAS-PAT assessments (n = 2,570) were matched to two comparison conditions (n = 1,527 and n = 3,107) of defendants who did not receive assessments. Area under the curve statistics and multivariable logistic regression models tested for predictive bias. Weighted, multivariable mixed-effects models examined effects of assessments on release decisions by race. IRAS-PAT assessments produced lower levels of predictive validity for Black defendants relative to white defendants. Although there were disparities in pretrial release rates, bond amount, and days in detention, there was no evidence that effects of pretrial risk assessments differed by race. The study concluded that even a tool producing biased assessments of risk can improve pretrial release outcomes for defendants irrespective of race and relative to practice as usual. (publisher abstract modified)

Date Published: January 1, 2022