Using empirical data from over 50,000 criminal cases, this paper argues for algorithmic sentencing guidelines that reduce racial and socioeconomic disparities in the American criminal justice system.
Reforming Criminal Sentencing: A Data-Driven Approach
Stanford Law Review
Abstract
Using empirical data from over 50,000 criminal cases, this paper argues for algorithmic sentencing guidelines that reduce racial and socioeconomic disparities in the American criminal justice system.