<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Algorithmic-Management on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/algorithmic-management/</link><description>Recent content in Algorithmic-Management 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/algorithmic-management/index.xml" rel="self" type="application/rss+xml"/><item><title>6-3 Sub-second Productivity Tracking Surveillance</title><link>https://msucerl.org/cmse101/use-cases/6-3-sub-second-productivity-surveillance/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://msucerl.org/cmse101/use-cases/6-3-sub-second-productivity-surveillance/</guid><description>&lt;h1 id="sub-second-productivity-tracking-surveillance"&gt;Sub-second Productivity Tracking Surveillance&lt;/h1&gt;
&lt;h2 id="context--systems-architecture"&gt;Context &amp;amp; Systems Architecture&lt;/h2&gt;
&lt;p&gt;The traditional manager-worker relationship has been heavily automated in large-scale fulfillment centers and logistics hubs. The pinnacle of this shift is represented by Amazon’s proprietary infrastructure, specifically its automated labor tracking software known historically as &lt;strong&gt;ADAPT (Associate Development and Performance Tracker)&lt;/strong&gt;. This architectural framework treats human workers as mechanical units within an algorithmic logistics chain. Handheld barcode scanners, thermal imaging arrays, and smart-vest biometrics track worker physical performance down to the individual second, turning real-time physical movement into continuous performance metrics.&lt;/p&gt;</description></item><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>