In the “Centre for Criminology & Sociolegal Studies: Criminological Highlights” published by the University of Toronto, the ability of complex algorithms to predict recidivism or re-offending while on pretrial release is discussed. In a study by Julia Dressel and Hany Farid, the researchers assessed the accuracy of algorithm based prediction system COMPAS.
They looked at data from 7,214 defendants in one county in Florida. They compared the predictions made by COMPAS to two other sources of predictions: (1) Ordinary statistical predictive models and (2) Intuitive predictions by ordinary people.
Dressel and Farid found that COMPAS’s prediction of recidivism (arrest within . . . [more]