A Bayesian Model of Cash Bail Decisions
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a 17-minute conference talk from the FAccT 2021 virtual event that presents a Bayesian model for analyzing cash bail decisions. Delve into the research conducted by J. Williams and Z. Kolter, which examines the complex factors influencing judicial determinations in the bail system. Gain insights into how this statistical approach can shed light on potential biases and inconsistencies in bail practices. Learn about the methodology used to develop the model and its implications for understanding and potentially improving the fairness of pretrial detention decisions. Access the full research paper through the provided ACM Digital Library link to further investigate this important intersection of data science, criminal justice, and algorithmic fairness.
Syllabus
A Bayesian Model of Cash Bail Decisions
Taught by
ACM FAccT Conference
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