Wednesday / CS Seminar

January 17th / 12:00 PM

Hybrid / Mudd 3514

Speaker

Matt Groh, Northwestern University

Talk Title

Designing and Evaluating Human-AI Collaboration

Abstract

How can artificial intelligence systems most effectively assist humans in problem solving? This talk will offer a framework for addressing this question in high-stakes, real-world computer vision applications in medicine and misinformation. Specifically, this talk will discuss empirical results from two large-scale digital experiments on the dynamics of physician-machine partnerships in store-and-forward teledermatology diagnosis and AI assistance in deepfake detection. The findings in both experiments reveal that overall increases in task accuracy by humans with AI assistance come with unexpected trade-offs on other performance metrics.

Biography

Matt Groh is assistant professor at Northwestern University Kellogg School of Management in the Management and Organizations department and a core faculty member of Northwestern Institute on Complex Systems (NICO). His research examines human-AI collaboration with a focus on misinformation, medical diagnosis, and empathy. Before joining Northwestern, Matt worked as a data scientist at multiple startups, a non-profit, the World Bank, and DARPA and cofounded a startup. Matt has a BA from Middlebury College where he majored in economics and minored in Arabic and mathematics and an MA and PhD from MIT in Media Arts and Sciences.

Research Interests/Area

Human-AI Collaboration, Computational Social Science, Affective Computing, Synthetic Media

Zoom Link: https://northwestern.zoom.us/j/91563101700?pwd=aVdXbWRMdTJSd3hEcnlhYnhsQnJ6QT09

Panopto Link: https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=51a093fb-285b-4846-bf07-b0ee012bd2dd