<?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>Bias on Latent Variable</title><link>https://latentvariable.ai/tags/bias/</link><description>Recent content in Bias on Latent Variable</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Apr 2026 07:30:00 +0000</lastBuildDate><atom:link href="https://latentvariable.ai/tags/bias/index.xml" rel="self" type="application/rss+xml"/><item><title>Alignment Doesn't Compose</title><link>https://latentvariable.ai/posts/alignment-doesnt-compose/</link><pubDate>Wed, 15 Apr 2026 07:30:00 +0000</pubDate><guid>https://latentvariable.ai/posts/alignment-doesnt-compose/</guid><description>An ICLR 2026 paper proves that individually aligned agents amplify bias when composed into multi-agent systems. The architecture itself is the problem — not the agents. Worse, providing objective context accelerates polarization rather than reducing it.</description></item></channel></rss>