<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hiring on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/hiring/</link><description>Recent content in Hiring 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/hiring/index.xml" rel="self" type="application/rss+xml"/><item><title>6.1 AI Resume Screening &amp; Hiring Discriminators</title><link>https://msucerl.org/cmse101/use-cases/6-1-ai-resume-screening-hiring/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://msucerl.org/cmse101/use-cases/6-1-ai-resume-screening-hiring/</guid><description>&lt;h1 id="ai-resume-screening--hiring-discriminators"&gt;AI Resume Screening &amp;amp; Hiring Discriminators&lt;/h1&gt;
&lt;h2 id="context--systems-architecture"&gt;Context &amp;amp; Systems Architecture&lt;/h2&gt;
&lt;p&gt;Automated hiring and talent acquisition tools are widely used by corporate Human Resources departments to filter through thousands of applicant resumes. Between 2014 and 2017, Amazon developed a proprietary, secret AI recruiting engine designed to automatically rank job applicants and identify top talent. The project was ultimately abandoned after internal engineers discovered that the machine learning pipeline had developed a systematic, algorithmic hostility toward female candidates, uncovering the core vulnerability of training models on historical human decision-making data.&lt;/p&gt;</description></item></channel></rss>