Ursula Hebert-Johnson

Multicalibration: Calibration for the (Computationally-Identifiable) Masses

We develop and study multicalibration as a new measure of fairness in machine learning that aims to mitigate inadvertent or malicious discrimination that is introduced at training time (even from ground truth data). Multicalibration guarantees meaningful (calibrated) predictions for every subpopulat…