<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Values on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/values/</link><description>Recent content in Values 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/values/index.xml" rel="self" type="application/rss+xml"/><item><title>Alignment</title><link>https://terms-en.ai-term-hub.com/en/terms/alignment/</link><pubDate>Sat, 18 Jul 2026 07:38:16 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/alignment/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Alignment focuses on making sure AI systems do what humans actually want, rather than just what they literally ask for. It involves techniques like Reinforcement Learning from Human Feedback (RLHF) to tune models based on human preferences. Misalignment can lead to unintended harmful outcomes even if the model is technically competent. Achieving alignment requires defining clear value structures and continuously evaluating model behavior against these standards to prevent drift or exploitation of loopholes.&lt;/p></description></item></channel></rss>