<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Algorithmic-Fairness on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/algorithmic-fairness/</link><description>Recent content in Algorithmic-Fairness on AI and Society Course</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 21 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://msucerl.org/cmse101/tags/algorithmic-fairness/index.xml" rel="self" type="application/rss+xml"/><item><title>3.3 Risk Assessment at Sentencing (COMPAS)</title><link>https://msucerl.org/cmse101/use-cases/3-3-risk-assessment-sentencing-compas/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://msucerl.org/cmse101/use-cases/3-3-risk-assessment-sentencing-compas/</guid><description>&lt;h1 id="risk-assessment-at-sentencing-compas"&gt;Risk Assessment at Sentencing (COMPAS)&lt;/h1&gt;
&lt;h2 id="context--systems-architecture"&gt;Context &amp;amp; Systems Architecture&lt;/h2&gt;
&lt;p&gt;The Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) is a proprietary machine learning classification tool developed by Northpointe (now Equivant). It is widely integrated into the United States criminal justice apparatus, specifically used by judges, parole officers, and corrections departments in states like Wisconsin, Florida, and New York to guide pre-sentencing reports, bail amounts, and parole determinations. The system is designed to predict a defendant&amp;rsquo;s risk of recidivism—the statistical likelihood that an individual will commit another crime within a specified window (typically two years)—by computing an automated risk rating.&lt;/p&gt;</description></item></channel></rss>