A case study showing that AI admissions models can have persistent specificity and sensitivity bias by race and first-generation status, even when overall accuracy is high and common fairness metrics look satisfied.
Hammer, Tenora D
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Bias Analysis of AI Models for Undergraduate Student Admissions
A case study showing that AI admissions models can have persistent specificity and sensitivity bias by race and first-generation status, even when overall accuracy is high and common fairness metrics look satisfied.