<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Automation-Bias on AI For Human Expertise</title><link>https://aiforhumanexpertise.com/tags/automation-bias/</link><description>Recent content in Automation-Bias on AI For Human Expertise</description><generator>Hugo</generator><language>en-gb</language><lastBuildDate>Mon, 11 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aiforhumanexpertise.com/tags/automation-bias/index.xml" rel="self" type="application/rss+xml"/><item><title>Deskilling Is Already Happening: Evidence Across Domains</title><link>https://aiforhumanexpertise.com/blog/deskilling-across-domains/</link><pubDate>Mon, 11 May 2026 00:00:00 +0000</pubDate><guid>https://aiforhumanexpertise.com/blog/deskilling-across-domains/</guid><description>&lt;h2 id="the-pattern-beneath-the-hype"&gt;The Pattern Beneath the Hype&lt;/h2&gt;
&lt;p&gt;It is tempting to treat the deskilling AI can cause as a future risk, something to worry about once the technology is more capable. The evidence says otherwise. Across very different fields, driven by the same human factors, the erosion is already measurable. The lesson from each domain is the same one, dressed in different clothes.&lt;/p&gt;
&lt;h2 id="what-deskilling-actually-looks-like"&gt;What Deskilling Actually Looks Like&lt;/h2&gt;
&lt;p&gt;Deskilling is rarely dramatic. It shows up in four recognisable ways:&lt;/p&gt;</description></item></channel></rss>