IBIIS & AIMI Hybrid Seminar: Designing Machine Learning Processes For Equitable Health Systems

April 19, 2023 @ 12:00 pm – 1:00 pm
ZOOM: https://stanford.zoom.us/j/97119304595?pwd=clBRVW45NXdWZE9ZUk8ySzQ0OEtYQT09
Ramzi Totah

Marzyeh Ghassemi, PhD
Assistant Professor, Department of Electrical Engineering and Computer Science
Institute for Medical Engineering & Science
Massachusetts Institute of Technology (MIT)
Canadian CIFAR AI Chair at Vector Institute

Title: Designing Machine Learning Processes For Equitable Health Systems

Dr. Marzyeh Ghassemi focuses on creating and applying machine learning to understand and improve health in ways that are robust, private and fair. Dr. Ghassemi will talk about her work trying to train models that do not learn biased rules or recommendations that harm minorities or minoritized populations. The Healthy ML group tackles the many novel technical opportunities for machine learning in health, and works to make important progress with careful application to this domain.