<?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>Machine-Learning on Scaling Trust Community</title><link>https://scalingtrust.org.uk/tags/machine-learning/</link><description>Recent content in Machine-Learning on Scaling Trust Community</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 10 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://scalingtrust.org.uk/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Verification in the Age of AI — Panel Discussion</title><link>https://scalingtrust.org.uk/videos/verification-ai-panel/</link><pubDate>Fri, 10 Apr 2026 00:00:00 +0000</pubDate><guid>https://scalingtrust.org.uk/videos/verification-ai-panel/</guid><description>A panel exploring the unique challenges of verifying AI system behaviour, and what existing verification infrastructure does and doesn&amp;rsquo;t transfer.</description><content:encoded><![CDATA[<p>Panel discussion from the Scaling Trust community day, April 2026.</p>
<p>The panel brings together researchers working on formal verification, practitioners deploying ML systems, and people building the standards infrastructure that sits underneath. The central question: which existing verification techniques transfer to AI systems, which ones break, and what new approaches do we actually need?</p>
<p>Panellists include members of the <a href="/projects/verifyml/">VerifyML</a>
 team and researchers from the formal methods community.</p>
<p><a href="#">Watch the recording</a>
 <em>(link coming soon)</em></p>
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