Reducing race-based bias and increasing recidivism prediction accuracy by using past criminal history details

Author(s):  
Bhanu Jain ◽  
Manfred Huber ◽  
Ramez A. Elmasri ◽  
Leonidas Fegaras
Author(s):  
William T. Miller ◽  
Christina A. Campbell ◽  
Jordan Papp ◽  
Ebony Ruhland

Scholars have presented concerns about potential for racial bias in risk assessments as a result of the inclusion of static factors, such as criminal history in risk assessments. The purpose of this study was to examine the extent to which static factors add incremental validity to the dynamic factors in criminogenic risk assessments. This study examined the Youth Level of Service/Case Management Inventory (YLS/CMI) in a sample of 1,270 youth offenders from a medium-sized Midwestern county between June 2004 and November 2013. Logistic regression was used to determine the predictive validity of the YLS/CMI and the individual contribution of static and dynamic domains of the assessment. Results indicated that the static domain differentially predicted recidivism for Black and White youth. In particular, the static domain was a significant predictor of recidivism for White youth, but this was not the case for Black youth. The dynamic domain significantly predicted recidivism for both Black and White offenders, and static risk factors improved prediction of recidivism for White youth, but not for Black youth.


2019 ◽  
pp. 60-71
Author(s):  
Richard S. Frase ◽  
Julian V. Roberts

If prior record enhancements are justified as a way to manage offender risk, policymakers need to consider other, non-record risk factors that may improve risk-prediction accuracy. This chapter examines the limited extent to which guidelines systems have incorporated such factors—usually as a ground for departure or other adjustment after the recommended sentence has been determined based on current offense and prior record. The chapter summarizes the offense factors and non-criminal-history offender factors, such as the offender’s current age and criminal thinking patterns, that criminological research has found to be good predictors of the risk of re-offending, and that are often included in widely used risk assessment instruments such as the Salient Factor Score, CSRA, and LSI-R. Very few of these non-record risk factors have been given a formal role in guidelines sentencing. The chapter argues that judges should be allowed to consider some of these factors, especially older age.


2009 ◽  
Author(s):  
Benjamin Scheibehenne ◽  
Andreas Wilke ◽  
Peter M. Todd
Keyword(s):  

2020 ◽  
Vol 44 (4) ◽  
pp. 300-310
Author(s):  
Lesley Zannella ◽  
Kimberley Clow ◽  
Emma Rempel ◽  
Leah Hamovitch ◽  
Victoria Hall
Keyword(s):  

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