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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Algorithmic Automation Problem: Prediction, Triage, and Human Effort · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1903.12220/</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/1903.12220/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Algorithmic Automation Problem: Prediction, Triage, and Human Effort — mentioned by weaklearner</title><link>https://news.ycombinator.com/item?id=19790033</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.12220:19790033</guid><pubDate>Tue, 30 Apr 2019 17:31:08 GMT</pubDate><description>&lt;p&gt;well the answer is a bit more complicated than just replacing dermatologists with a CNN. I am pretty convinced the better approach is something like the approach in this paper-use the CNN on easy cases-have the CNN tell a human which instances are hard to classify. Many images are easy to classify-but some are hard [even for the cnn] and humans should give those images more study. https://arxiv.org/abs/1903.12220&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.12220/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
