F-AI-R est of Them All

Monday, September 27, 2021 11am to 12pm

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About this Event

Science and Engineering Complex, 3.302 + 3.303 Conference Room

150 Western Avenue, Boston MA 02134

https://crcs.seas.harvard.edu/event/marzyeh-ghassemi-massachusetts-institute-technology ##AIforHealthEquity

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While clinical AI and medical risk scores have received much attention for their potential to achieve above-human performance, there are many concerns about their ability to mimic societal bias. In this talk, Dr. Ghassemi explores the difficulty of making state-of-the-art machine learning models behave as we say, not as we do, and how technical choices that seems natural in other settings may not work well in health.

Event Details

Event Type

Colloquia / Seminar / Lecture

Series

CRCS Seminars

Academics

Applied Computation Applied Mathematics Computer Science

Audience

Graduate Students Staff Undergraduate Students Harvard Community

Web Page Listing

Academic Areas Applied Computation Computer Science Applied Mathematics Offices & Services Education Outreach & Community Programs Diversity, Inclusion, & Belonging Events

Website

https://crcs.seas.harvard.edu/event/m...

Hashtag

##AIforHealthEquity

Speaker 1

Marzyeh Ghassemi, PhD

Speaker Bio

Dr. Marzyeh Ghassemi is an Assistant Professor at MIT in Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES), and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. She holds a Herman L. F. von Helmholtz Career Development Professorship, and was also named one of MIT Tech Review’s 35 Innovators Under 35. Previously, she was a Visiting Researcher with Alphabet’s Verily and an Assistant Professor at University of Toronto. Prior to her PhD in Computer Science at MIT, she received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.

Professor Ghassemi currently serves as a NeurIPS Workshop Co-Chair, and General Chair for the ACM Conference on Health, Inference and Learning (CHIL). Professor Ghassemi has a well-established academic track record across computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, EMBC, Nature Medicine, Nature Translational Psychiatry, and Critical Care. Her work has been featured in popular press such as MIT News, NVIDIA, Huffington Post.

Host

Center for Research on Computation and Society

Contact

Hila Bernstein

Phone

617-495-0370

Email

CRCS@seas.harvard.edu

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