<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1802.00682/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1802.00682/feed.xml" rel="self" type="application/rss+xml" /><item><title>How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation — HN submission</title><link>https://news.ycombinator.com/item?id=16387961</link><guid isPermaLink="false">urn:hackerpapers:submission:1802.00682:16387961</guid><pubDate>Thu, 15 Feb 2018 21:43:30 GMT</pubDate><description>&lt;p&gt;How Do Humans Understand Explanations from Machine Learning Systems?&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1802.00682/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
