<?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>AI Reliability on BriefArc</title><link>https://briefarc.com/tags/ai-reliability/</link><description>Recent content in AI Reliability on BriefArc</description><image><title>BriefArc</title><url>https://briefarc.com/images/og-cover.png</url><link>https://briefarc.com/images/og-cover.png</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 16 Jul 2026 11:32:13 +0000</lastBuildDate><atom:link href="https://briefarc.com/tags/ai-reliability/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Protect Yourself from AI Errors After Mayo Clinic Whistleblower Revelations</title><link>https://briefarc.com/posts/how-to-protect-yourself-from-ai-errors-after-mayo-clinic-whistleblower-revelatio/</link><pubDate>Thu, 16 Jul 2026 11:32:13 +0000</pubDate><guid>https://briefarc.com/posts/how-to-protect-yourself-from-ai-errors-after-mayo-clinic-whistleblower-revelatio/</guid><description>A Mayo Clinic whistleblower claims staff hid an AI tool&amp;#39;s 67% error rate and then retaliated against her. This article explains what consumers can learn from this case and how to verify AI outputs in everyday life.</description></item></channel></rss>