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Algorithmic Justice: Predictive Modeling and Sentencing Decisions

Wed, Nov 16, 3:30 to 4:50pm, M101, Marquis Level

Abstract

The increasing use of predictive algorithms in criminal justice decision-making raises both practical and ethical questions: Are these tools better at predicting recidivism than judges? Can they help reduce prison populations without jeopardizing public safety? Do they increase racial disparities? Can they be implemented in a way that passes constitutional muster? This chapter provides a comprehensive overview of the promises and pitfalls of predictive sentencing tools.

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