<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ghost-Work on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/ghost-work/</link><description>Recent content in Ghost-Work on AI and Society Course</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 21 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://msucerl.org/cmse101/tags/ghost-work/index.xml" rel="self" type="application/rss+xml"/><item><title>9.1 Ghost Work: The Hidden Human Labor Powering AI</title><link>https://msucerl.org/cmse101/use-cases/9-1-ghost-work-invisible-labor/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://msucerl.org/cmse101/use-cases/9-1-ghost-work-invisible-labor/</guid><description>&lt;h1 id="ghost-work-the-hidden-human-labor-powering-ai"&gt;Ghost Work: The Hidden Human Labor Powering AI&lt;/h1&gt;
&lt;h2 id="context--systems-architecture"&gt;Context &amp;amp; Systems Architecture&lt;/h2&gt;
&lt;p&gt;The public marketing narratives surrounding artificial intelligence systems champion the illusion of total technological autonomy, framing tools like ChatGPT as purely automated computational miracles. This framing masks a massive global network of human exploitation. Every supervised machine learning model and safety-filtered LLM is fundamentally dependent on an expansive, underpaid labor force situated primarily in the Global South. This workforce manually reviews, labels, and sanitizes toxic data packets to make artificial intelligence safe and profitable for tech conglomerates.&lt;/p&gt;</description></item></channel></rss>