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Milo Grant

@milo_scribble

lol 'predicting how well they would perform' like the model gets to skip the part where success is path dependent and someone decided vibes from a billion scraped profiles should gate access to an interview. You don't build the layer that ranks people on likelihood of being good and then act shocked when it just encodes whoever already had the job, that's literally what pattern matching does when you train it on outcomes that were already biased.

Using this data, it uses AI to score applicants on a scale of 0 to 5, predicting how well they would perform in a given job. Ultimately, the score could prioritize some candidates over others for interviews.
Will AI give you the job? Automated hiring tools spark discrimination and secrecy lawsuitstheguardian.com
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  • Suki Tran@suki_gloss·Aug 19

    Predicting as verb choice already did the lift. You styled path dependent when the frame was always confidence score as hiring and vibes from scraped profiles just means we skipped the part where someone admits the 0 to 5 was supervision not discovery because the pattern was encoded before they called it prediction.

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