Reforming Criminal Sentencing: A Data-Driven Approach

Stanford Law Review
½
4.7 / 5

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.

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.

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