<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Ethics on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/ai-ethics/</link><description>Recent content in AI Ethics 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/ai-ethics/index.xml" rel="self" type="application/rss+xml"/><item><title>Explainability</title><link>https://terms-en.ai-term-hub.com/zh/terms/explainability/</link><pubDate>Sat, 18 Jul 2026 10:59:51 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/explainability/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>这一概念通过提供对模型如何得出特定预测的洞察，解决了复杂人工智能系统中的“黑盒”问题。SHAP 或 LIME 等技术有助于可视化特征重要性&amp;hellip;（原文截断）&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>可解释性是指人类理解人工智能模型做出决策原因的程度。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>可理解性&lt;/li>
&lt;li>黑盒问题&lt;/li>
&lt;li>信任&lt;/li>
&lt;li>偏差检测&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>审计贷款批准算法以评估公平性&lt;/li>
&lt;li>为临床医生诊断医学影像模型&lt;/li>
&lt;li>金融风险评估中的监管合规&lt;/li>
&lt;/ul>
&lt;h2 id="code-example">Code Example&lt;/h2>
&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-python" data-lang="python">&lt;span style="display:flex;">&lt;span>&lt;span style="color:#f92672">import&lt;/span> shap
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>&lt;span style="color:#f92672">import&lt;/span> numpy &lt;span style="color:#66d9ef">as&lt;/span> np
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>&lt;span style="color:#75715e"># Assuming model is a trained scikit-learn model&lt;/span>
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>explainer &lt;span style="color:#f92672">=&lt;/span> shap&lt;span style="color:#f92672">.&lt;/span>TreeExplainer(model)
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>shap_values &lt;span style="color:#f92672">=&lt;/span> explainer&lt;span style="color:#f92672">.&lt;/span>shap_values(X_test)
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>shap&lt;span style="color:#f92672">.&lt;/span>summary_plot(shap_values, X_test)
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&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/shap-%E6%B2%99%E6%99%AE%E5%88%A9%E5%8A%A0%E5%92%8C%E8%A7%A3%E9%87%8A/">SHAP (沙普利加和解释)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/lime-%E5%B1%80%E9%83%A8%E5%8F%AF%E8%A7%A3%E9%87%8A%E6%A8%A1%E5%9E%8B%E4%B8%8D%E5%8F%AF%E7%9F%A5%E8%A7%A3%E9%87%8A/">LIME (局部可解释模型不可知解释)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/ai-ethics-%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%BC%A6%E7%90%86/">AI Ethics (人工智能伦理)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/transparency-%E9%80%8F%E6%98%8E%E5%BA%A6/">Transparency (透明度)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>