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AI vs. Judicial Decisions in Pretrial Risk by minitalia.bricklink is a document available to read on EtoBox.

This article discusses the use of risk assessment tools in the pretrial criminal justice system, highlighting the debate between proponents who argue these tools reduce human bias and opponents who fear they reinforce existing biases and racial disparities. It examines the effectiveness of traditional regression analysis versus machine learning-based tools, concluding that while both have limitations, machine learning has the potential to enhance personalized risk assessments. The paper emphasizes the need

Author
minitalia.bricklink
Language
EN