<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Trust on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/trust/</link><description>Recent content in Trust 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/trust/index.xml" rel="self" type="application/rss+xml"/><item><title>Transparency</title><link>https://terms-en.ai-term-hub.com/zh/terms/transparency/</link><pubDate>Sat, 18 Jul 2026 11:02:15 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/transparency/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>透明度确保利益相关者能够理解AI模型如何得出其输出，从而培养信任和问责制。它涉及披露训练数据起源、模型架构和&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>AI系统的决策过程、数据来源和局限性向用户开放且可理解的程度。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>可解释性&lt;/li>
&lt;li>问责制&lt;/li>
&lt;li>偏见披露&lt;/li>
&lt;li>用户信任&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>监管合规报告&lt;/li>
&lt;li>建立医疗保健AI的用户信任&lt;/li>
&lt;li>审计算法决策&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/explainable_ai-%E5%8F%AF%E8%A7%A3%E9%87%8Aai/">explainable_ai (可解释AI)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/ethics-%E4%BC%A6%E7%90%86/">ethics (伦理)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/bias-%E5%81%8F%E8%A7%81/">bias (偏见)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/accountability-%E9%97%AE%E8%B4%A3%E5%88%B6/">accountability (问责制)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>