Brian Anthony | Associate Director, MIT.nano Praneeth Namburi Research Scientist, MIT Institute for Medical Engineering and Science Valencia Koomson Visiting Associate Professor, MIT Electrical Engineering & Computer Science Micha Feigin-Almon Research Scientist, MIT Mechanical Engineering
Marzyeh Ghassemi Associate Professor, MIT Department of Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES)
Machine learning in health has made impressive progress in recent years, powered by an increasing availability of health-related data and high-capacity models. While many models in health now perform at, or above, humans in a range of tasks across the human lifespan, models also learn societal biases and may replicate or expand them. In this talk, Dr. Marzyeh Ghassemi will focus on the need for machine learning researchers and model developers to create robust models that can be ethically deployed in health settings, and beyond. Dr. Ghassemi's talk will span issues in data collection, outcome definition, algorithm development, and deployment considerations.
Principal Investigator Andrew Lippman
Paula Hammond Head, Department of Chemical Engineering; David H. Koch Professor of Chemical Engineering
William Oliver Director, Center for Quantum Engineering