EECS Special Seminar: Sanmi Koyejo "The Measurement and Mismeasurement of Trustworthy ML"

Speaker: Sanmi Koyejo , Univ Illinois Urbana-Champaign

Date: Tuesday, March 09, 2021

Time: 12:00 PM to 1:00 PM Note: all times are in the Eastern Time Zone

Public: No

Location: Virtual TBD

Event Type: Seminar

Room Description:

Host: Tommi Jaakkola

Contact: Fern D Keniston, fern@csail.mit.edu

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Speaker URL: None

Speaker Photo:
Sanmi koyejo headshot

Reminders to: fern@csail.mit.edu

Reminder Subject: TALK: EECS Special Seminar: Sanmi Koyejo "The Measurement and Mismeasurement of Trustworthy ML"

Abstract:
Across healthcare, science, and engineering, we increasingly employ machine learning (ML) to automate decision-making that, in turn, affects our lives in profound ways. However, ML can fail, with significant and long-lasting consequences. Reliably measuring such failures is the first step towards building robust and trustworthy learning machines. Consider algorithmic fairness, where widely-deployed fairness metrics can exacerbate group disparities and result in discriminatory outcomes. Moreover, existing metrics are often incompatible. Hence, selecting fairness metrics is an open problem. Measurement is also crucial for robustness, particularly in federated learning with error-prone devices. Here, once again, models constructed using well-accepted robustness metrics can fail. Across ML applications, the dire consequences of mismeasurement are a recurring theme. This talk will outline emerging strategies for addressing the measurement gap in ML and how this impacts trustworthiness.

Bio:
Sanmi Koyejo an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo's research interests are in developing the principles and practice of trustworthy machine learning. Additionally, Koyejo focuses on applications to neuroscience and healthcare. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping (OHBM). Koyejo serves on the board of the Black in AI organization.

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This event is not part of a series.

Created by Fern D Keniston Email at Wednesday, February 24, 2021 at 1:46 PM.