By: SHAMENA ANWAR, JOHN ENGBERG, ISAAC M. OPPER, LEAH DION

The use of artificial intelligence (AI) methods to aid with decisionmaking in the criminal justice system has widely expanded in recent years with the increased use of risk assessments. Nowhere has this shift been more dramatic than in the widespread adoption of AI-enabled risk assessment tools to aid in pretrial detention decisions.

Despite the promise of pretrial risk assessment tools, the ways in which these tools have been implemented has limited potential progress. The vast majority of jurisdictions that have implemented these tools have essentially provided these risk assessment recommendations to judges in an advisory manner and generally cannot require judges to follow the recommendations when making their pretrial release decisions. Studies indicate that judges frequently ignore the recommendations of the risk assessment instrument; as a result, the adoption of these risk assessment tools has not had much impact on reducing the use of monetary bail and pretrial detention.

In this report, the authors investigate the factors that are predictive of whether judges follow risk assessment recommendations and identify the impacts to pretrial detention, public safety, and racial disparities when judges follow the recommendations more often.

RAND Research - Published Sep. 5, 2024