Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1811.08489/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTBalanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations — mentioned by light_hue_1https://news.ycombinator.com/item?id=39331501urn:hackerpapers:mention:1811.08489:39331501Sun, 11 Feb 2024 00:09:12 GMT<p>What a terrible take. Stefan Baack is definitely not an ml researcher and I can&#x27;t imagine any read over this piece. &gt; Common Crawl’s mission as an organization does not easily align with the needs of trustworthy AI development. Its guiding principle is that less curation of the provided data enables more research and innovation by downstream users. Common Crawl therefore deliberately does not remove hate speech, for example, because it wants its data to be useful for researchers studying hate speech. However, such data is undesirable when training LLMs because it might lead to harmful outputs…</p><p><a href="https://hackerpaper.kaipfister.de/p/1811.08489/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CV