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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bias Amplification in Artificial Intelligence Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1809.07842/</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/1809.07842/feed.xml" rel="self" type="application/rss+xml" /><item><title>Bias Amplification in Artificial Intelligence Systems — mentioned by freeone3000</title><link>https://news.ycombinator.com/item?id=25851444</link><guid isPermaLink="false">urn:hackerpapers:mention:1809.07842:25851444</guid><pubDate>Wed, 20 Jan 2021 20:21:07 GMT</pubDate><description>&lt;p&gt;Yes; automated approaches amplify bias[0]. Moreover, automated approaches launder bias; in the general population, people view computers and algorithms as &amp;quot;unbiased&amp;quot;, so imagine biased results to be more accurate than humans, because a computer did them. 0: https://arxiv.org/abs/1809.07842 2: https://arxiv.org/abs/2004.07213 also has an overview of our current combative systems.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1809.07842/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
