Stereotyping and Medical AI

These talks were recorded as part of the 2021 Summer Colloquium Series on Stereotyping and Medical AI.

 

“Stereotypes, Personalization, and Risk in Medical AI” by Kathleen Creel (Stanford)

“Neural Networks and Explanatory Opacity” by William McNeill (Southampton)

Special Legal-Themed Panel Discussion on Stereotyping and Medical AI

“Algorithmic Fairness and Resentment” by Zoë Johnson King (USC) and Boris Babic (Toronto)

“Enabling Fairness in Healthcare Through Machine Learning” by Geoff Keeling (HAI, LCFI, Google)