<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Content Policy on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/content-policy/</link><description>Recent content in Content Policy on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/content-policy/index.xml" rel="self" type="application/rss+xml"/><item><title>无审查</title><link>https://terms-en.ai-term-hub.com/zh/terms/uncensored/</link><pubDate>Sat, 18 Jul 2026 11:37:26 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/uncensored/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>在人工智能领域，“无审查”通常描述那些经过微调或修改，以移除或削弱内置安全对齐的模型。这些模型旨在去除内容限制。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>指经过修改以绕过安全过滤器和道德准则的人工智能模型。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>安全对齐&lt;/li>
&lt;li>微调&lt;/li>
&lt;li>内容审核&lt;/li>
&lt;li>模型修改&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>研究模型漏洞&lt;/li>
&lt;li>无限制的创意写作&lt;/li>
&lt;li>测试安全边界&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/jailbreaking-%E8%B6%8A%E7%8B%B1%E6%94%BB%E5%87%BB/">Jailbreaking (越狱攻击)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/alignment-%E5%AF%B9%E9%BD%90/">Alignment (对齐)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/rlhf-%E5%9F%BA%E4%BA%8E%E4%BA%BA%E7%B1%BB%E5%8F%8D%E9%A6%88%E7%9A%84%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0/">RLHF (基于人类反馈的强化学习)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/safety-filters-%E5%AE%89%E5%85%A8%E8%BF%87%E6%BB%A4%E5%99%A8/">Safety Filters (安全过滤器)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>