GEPI’s How AI Fails Women Report Examines How Algorithms Amplify Gender Bias↗ (원문, 새 창)

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A hiring score, a credit assessment, or a clinical recommendation can look impartial while carrying forward the inequalities in the data behind it. That is the central warning of the Gender Equity Policy Institute’s new report, How AI Fails Women: When Bias Becomes Amplified, which brings together research on how automated systems can reproduce—and sometimes intensify—gender discrimination. Written by machine learning scientist and GEPI senior fellow Myriam Shiran, PhD, the report reviews…