<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model Security on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/model-security/</link><description>Recent content in Model Security on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/model-security/index.xml" rel="self" type="application/rss+xml"/><item><title>Uncensored</title><link>https://terms-en.ai-term-hub.com/en/terms/uncensored/</link><pubDate>Sat, 18 Jul 2026 10:19:06 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/uncensored/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>In the context of artificial intelligence, &amp;lsquo;uncensored&amp;rsquo; typically describes models that have undergone fine-tuning or modification to remove or weaken built-in safety alignments. These models are designed to generate content that might otherwise be blocked by standard safety protocols, including harmful, illegal, or controversial material. While some users seek these versions for creative freedom or research into model vulnerabilities, they pose significant risks regarding misuse and the generation of dangerous content. The term is often associated with community-driven modifications rather than official releases from major technology companies.&lt;/p></description></item></channel></rss>