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Today I learned that until recently the UT Austin CS department was using a machine learning model to streamline PhD admissions decisions O_ohttps://twitter.com/juliaflynch/status/1338470001502810113 …
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I empathize with the challenge of reviewing 1,200 graduate applications. But UMD physicist Steven Rolston, quoted in the piece, is right: "You seem to have built a model that builds in whatever bias your committee had in 2013 and you’ve been using it ever since."
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This is increasingly and worryingly becoming common practice. We’re finding ML models are being used in such a way that they’re exacerbating existing bias. They’re being hailed as magical bullets without critical evaluation.
