This event is organized by the Schwartz Reisman Institute for Technology and Society.
Our weekly SRI Seminar Series welcomes Laura Rosella, an epidemiologist and professor in the University of Toronto’s Dalla Lana School of Public Health, where she leads the Population Health Analytics Lab. Rosella’s research explores how population-based risk assessment tools like AI technologies can better support public health planning and public health policy. This session will be moderated by Beth Coleman.
Talk Title:
“From development to deployment: Can we improve the health of populations with AI?”
Abstract:
This talk delves into the critical question of whether AI can meaningfully improve the health of populations. From the AI development phase to deployment, we will explore how AI can be leveraged to address the broad and interconnected determinants of population health. With a focus on human-centered and responsible AI deployment, we will examine key principles such as transparency, equity, and accountability. The discussion will also highlight distinct AI applications that have the potential to improve health outcomes at both individual and community levels, emphasizing the need to align AI-based technological innovations with health system actions that meaningfully advance population health goals. Through this lens, the talk will cover how developers and health system leaders must contemplate the use of AI to address the growing challenges facing health systems and population health.
About Laura Rosella
Laura C. Rosella is an epidemiologist and professor in the Dalla Lana School of Public Health at the University of Toronto, where she holds a Canada Research Chair in Population Health Analytics and leads the Population Health Analytics Lab. Her research interests include population health, population-based risk tools to support public health planning and public health policy.
Rosella holds the Inaugural Stephen Family Research Chair in Community Health at the Institute for Better Health, Trillium Health Partners and has scientific appointments at Vector and ICES. She leads training at the Temerty Centre for Artificial Intelligence Research and Education in Medicine and the Data Sciences Institute, and is the director of AI4PH, which is focused on building capacity in AI and big data skills for transformative change in addressing population and public health challenges, and understanding how these tools impact health equity.
About the SRI Seminar Series
The SRI Seminar Series brings together the Schwartz Reisman community and beyond for a robust exchange of ideas that advance scholarship at the intersection of technology and society. Seminars are led by a leading or emerging scholar and feature extensive discussion.
Each week, a featured speaker will present for 45 minutes, followed by an open discussion. Registered attendees will be emailed a Zoom link before the event begins. The event will be recorded and posted online.
Note: Event details can change. Please visit the unit’s website for the latest information about this event.