<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>歧视路径 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E6%AD%A7%E8%A7%86%E8%B7%AF%E5%BE%84/</link><description>Recent content in 歧视路径 on AI 实战派 · 从技术到赚钱</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Tue, 20 Oct 2026 12:36:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%AD%A7%E8%A7%86%E8%B7%AF%E5%BE%84/index.xml" rel="self" type="application/rss+xml"/><item><title>算法公平与因果：公平指标为什么离开因果模型就站不住</title><link>https://guijiagi.com/posts/2026-10-20-06-algorithmic-fairness-causal-model/</link><pubDate>Tue, 20 Oct 2026 12:36:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-20-06-algorithmic-fairness-causal-model/</guid><description>相关性平衡常被当作公平，可一旦追问歧视经由什么路径传导，就必须回到因果结构</description></item></channel></rss>