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Panel
Panel
Panel
March
8
17:00
-
18:00
UTC
Add to Calendar 03/08/2021 05:00 PM 03/08/2021 06:00 PM UTC Health Inequities, Machine Learning, and the Covid Looking Glass Check out this session on the FAccT Hub. https://2021.facctconference.org/conference-agenda/machine-learning-and-health-inequities-during-covid

Health Inequities, Machine Learning, and the Covid Looking Glass

Session Chair:
Moderator:
Discussant:
Alix Dunn
RajiRaji
Deb
Raji
Mozilla Foundation
GürsesGürses
Seda
Gürses
Delft University of Technology (TU Delft)
GhassemiGhassemi
Marzyeh
Ghassemi
University of Toronto in Computer Science and Medicine & Vector Institute

Abstract

A panel focused on the way that machine learning approaches can exacerbate health inequities and what we can learn from the Covid context. What role can and should machine learning play in health systems? What effects do these interventions have on health inequities? And what does the urgency and intensity of Covid teach us about the interplay between health inequities and machine learning?
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