<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gig-Economy on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/gig-economy/</link><description>Recent content in Gig-Economy 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/gig-economy/index.xml" rel="self" type="application/rss+xml"/><item><title>6.2 Algorithmic Management in the Gig Economy</title><link>https://msucerl.org/cmse101/use-cases/6-2-algorithmic-management-gig-economy/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://msucerl.org/cmse101/use-cases/6-2-algorithmic-management-gig-economy/</guid><description>&lt;h1 id="algorithmic-management-in-the-gig-economy"&gt;Algorithmic Management in the Gig Economy&lt;/h1&gt;
&lt;h2 id="context--systems-architecture"&gt;Context &amp;amp; Systems Architecture&lt;/h2&gt;
&lt;p&gt;Gig economy platforms like Uber, Lyft, DoorDash, and Instacart have completely replaced traditional human management with algorithmic coordination systems. Workers interact with their employer solely through a mobile application interface that tracks behavior, distributes jobs, determines compensation rates, and administers disciplinary actions. This framework creates an extreme information asymmetry, allowing corporate platforms to exercise total behavioral control over a massive distributed workforce while avoiding the legal and financial obligations associated with employing human staff.&lt;/p&gt;</description></item></channel></rss>