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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2005.07572/</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/2005.07572/feed.xml" rel="self" type="application/rss+xml" /><item><title>Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics — mentioned by accraze</title><link>https://news.ycombinator.com/item?id=25366027</link><guid isPermaLink="false">urn:hackerpapers:mention:2005.07572:25366027</guid><pubDate>Wed, 09 Dec 2020 22:16:22 GMT</pubDate><description>&lt;p&gt;I think &amp;quot;participatory&amp;quot; means something similar here within an ML context. It favors building community-based algorithmic systems and focuses on lowering the barrier to participation, so that non-expert users can be involved during the machine learning development cycle. I&amp;#x27;m not aware of any seminal papers per-say, although here are a few that I&amp;#x27;ve read recently... first one is something I maintain at $DAYJOB: 1) Halfaker, A., &amp;amp; Geiger, R. S. (2020). Ores: Lowering barriers with participatory machine learning in Wikipedia. ArXiv:1909.05189 [Cs]. http://arxiv.org/abs/1909.05189 2) Martin Jr.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2005.07572/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
