<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Algorithmic-Bias on BRYSGO</title><link>https://www.brysgo.com/tags/algorithmic-bias/</link><description>Recent content in Algorithmic-Bias on BRYSGO</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 08 Sep 2026 20:20:34 +0000</lastBuildDate><atom:link href="https://www.brysgo.com/tags/algorithmic-bias/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Isn't Learning Our Values. We're Learning Its.</title><link>https://www.brysgo.com/post/2026-09-08-ai-isn-t-learning-our-values-we-re-learning-its/</link><pubDate>Tue, 08 Sep 2026 20:20:34 +0000</pubDate><guid>https://www.brysgo.com/post/2026-09-08-ai-isn-t-learning-our-values-we-re-learning-its/</guid><description>&lt;p&gt;We spend all our time worrying about how to make AI more ethical, but the studies show the real problem is the opposite — every time you ask an algorithm for advice, you become a little more willing to sacrifice someone.&lt;/p&gt;&#10;&lt;p&gt;There&amp;rsquo;s a body of research on this that doesn&amp;rsquo;t get nearly enough attention. When people interact with AI systems that reason in clean, utilitarian terms — maximize outcomes, minimize friction, optimize the metric — they start to reason that way too. Not dramatically. Not all at once. Just a little more each time. The effect is subtle enough that you don&amp;rsquo;t notice it happening, which is exactly what makes it dangerous.&lt;/p&gt;</description></item></channel></rss>