<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Civil-Rights on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/civil-rights/</link><description>Recent content in Civil-Rights 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/civil-rights/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><item><title>7.2 Deepfakes &amp; Non-Consensual Synthetic Media</title><link>https://msucerl.org/cmse101/use-cases/7-2-deepfakes-non-consensual-media/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://msucerl.org/cmse101/use-cases/7-2-deepfakes-non-consensual-media/</guid><description>&lt;h1 id="deepfakes--non-consensual-synthetic-media"&gt;Deepfakes &amp;amp; Non-Consensual Synthetic Media&lt;/h1&gt;
&lt;h2 id="context--systems-architecture"&gt;Context &amp;amp; Systems Architecture&lt;/h2&gt;
&lt;p&gt;The democratization of generative artificial intelligence has led to a rapid proliferation of synthetic media, commonly known as deepfakes. Utilizing generative adversarial networks (GANs) and advanced diffusion models, malicious actors can synthesize high-fidelity video and voice clones using consumer-grade computer hardware. While occasionally deployed for creative satire or cinematic visual effects, the primary operational manifestation of this technology has been weaponized as a vector for targeted harassment, political disinformation, and non-consensual sexual violence.&lt;/p&gt;</description></item></channel></rss>