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<oembed><version>1.0</version><provider_name>Probably Overthinking It</provider_name><provider_url>https://www.allendowney.com/blog</provider_url><author_name>AllenDowney</author_name><author_url>https://www.allendowney.com/blog/author/allendowney_6dbrc4/</author_url><title>Algorithmic Fairness - Probably Overthinking It</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="5io1LkFH6o"&gt;&lt;a href="https://www.allendowney.com/blog/2025/01/20/1496/"&gt;Algorithmic Fairness&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.allendowney.com/blog/2025/01/20/1496/embed/#?secret=5io1LkFH6o" width="600" height="338" title="&#x201C;Algorithmic Fairness&#x201D; &#x2014; Probably Overthinking It" data-secret="5io1LkFH6o" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>This is the last in a series of excerpts from Elements of Data Science, now available from Lulu.com and online booksellers. This article is based on the Recidivism Case Study, which is about algorithmic fairness. The goal of the case study is to explain the statistical arguments presented in two articles from 2016: Both are about COMPAS, a statistical tool used in the justice system to assign defendants a &#x201C;risk score&#x201D; that is intended to reflect the risk that they... Read More Read More</description><thumbnail_url>https://allendowney.github.io/RecidivismCaseStudy/_images/0c00fcec5fcb5d27076980d67c956f77bd0f84a3c39072a7a423b9f462b40780.png</thumbnail_url></oembed>
