<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Harassment on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/harassment/</link><description>Recent content in Harassment 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/harassment/index.xml" rel="self" type="application/rss+xml"/><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>