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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dealing with Expert Bias in Collective Decision-Making · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.13539/</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/2106.13539/feed.xml" rel="self" type="application/rss+xml" /><item><title>Dealing with Expert Bias in Collective Decision-Making — mentioned by belter</title><link>https://news.ycombinator.com/item?id=27663255</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.13539:27663255</guid><pubDate>Mon, 28 Jun 2021 15:36:37 GMT</pubDate><description>&lt;p&gt;&amp;quot;Quite some real-world problems can be formulated as decision-making problems wherein one must repeatedly make an appropriate choice from a set of alternatives. Expert judgments, whether human or artificial, can help in taking correct decisions, especially when exploration of alternative solutions is costly. As expert opinions might deviate, the problem of finding the right alternative can be approached as a collective decision making problem (CDM). Current state-of-the-art approaches to solve CDM are limited by the quality of the best expert in the group, and perform poorly if experts are…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.13539/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Dealing with Expert Bias in Collective Decision-Making — HN submission</title><link>https://news.ycombinator.com/item?id=27663254</link><guid isPermaLink="false">urn:hackerpapers:submission:2106.13539:27663254</guid><pubDate>Mon, 28 Jun 2021 15:36:37 GMT</pubDate><description>&lt;p&gt;Dealing with Expert Bias in Collective Decision-Making&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2106.13539/"&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>
