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Gender, Race, and Intersectional Bias in Resume Screening via Language Model (www.geekwire.com)

submitted 3 days ago by [email protected] to c/[email protected]

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Direct link to paper: https://ojs.aaai.org/index.php/AIES/article/view/31748/33915

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[–] [email protected] 7 points 3 days ago

Interesting read, thanks! I'll finish it later, but already this bit is quite interesting:

Without access to gender, the ML algorithm over-predicts women to default compared to their true default rate, while the rate for men is accurate. Adding gender to the ML algorithm corrects for this and the gap in prediction accuracy for men and women who default diminishes.