Law Commons^™

Preventive Justice: How Algorithms Parole Boards, And Limiting Retributivism Could End Mass Incarceration, Christopher Slobogin

Vanderbilt Law School Faculty Publications

A number of states use statistically derived algorithms to provide estimates of the risk of reoffending. In theory, these risk assessment instruments could bring significant benefits. Fewer people of all ethnicities would be put in jail prior to trial and in prison after conviction, the duration of sentences would be reduced for low-risk offenders, and treatment resources would be more efficiently allocated. As a result, the capital outlays for prisons and jails would be substantially reduced. The public would continue to be protected from the most dangerous individuals, while lower-risk individuals would be less subject to the criminogenic effects of …