Overview
As AI adoption in healthcare accelerates, ensuring responsible deployment is critical. Many machine learning models suffer from methodological flaws like label leakage, and while some failures have been studied in academic settings, many deployed models operate without sufficient scrutiny. Effective governance must go beyond accuracy metrics to account for healthcare’s complex dynamics, recognize AI maturity as a spectrum, and tailor frameworks to the resources of diverse health systems.
This webinar explores key considerations for AI governance and shares insights from a collaboration between the University of Chicago Medicine and St. Luke’s University Health Network. The study aims to assess existing frameworks and audit models in use and establish best practices for oversight.
Watch the recording for an in-depth discussion on balancing innovation with accountability, and learn when—and how—we should responsibly move forward with AI deployment in healthcare.
Date
Tuesday, March 25, 2025Time
Organizers
Speakers
Brett Beaulieu-Jones, PhD
Assistant Professor, University of Chicago
Brett's research seeks to understand the relationship between technology and health care delivery, including the deployment of machine learning and informatics tools, and the extraction of robust insights from real-world biomedical data. He is a founding organizer for the Symposium on Artificial Intelligence for Learning Health Systems and is the chair of the Association for Health Learning and Inference (AHLI, parent organization of ML4H and the Conference on Health, Inference, and Learning). He has a strong interest in entrepreneurship and has helped start and lead venture backed companies from founding to acquisition.
Maia Hightower, MD, MPH, MBA
CEO, Veritas Healthcare Insights
Maia's executive leadership experience spans healthcare digital transformation strategy and operations, population health, and diversity, equity, and inclusion, with academic medical centers, clinically integrated networks, and accountable care organizations, and early-stage investor financed healthcare tech. She is an expert and a nationally sought speaker in responsible AI and the intersection of digital technology with health equity, diversity, and inclusion. She strives to ensure that the value from digital transformation of healthcare is equitable across all stakeholders, including our most vulnerable.
Sumant Ranji, MD
Director, UCSF CODEX
Professor of Clinical Medicine, Division of Hospital Medicine at the Zuckerberg San Francisco General Hospital (ZSFG)
Dr. Ranji is a renowned leader in patient safety, quality improvement, and medical education. He first joined UCSF as a fellow in hospital medicine and clinical research, then went on to become a faculty member in the Division of Hospital Medicine at UCSF Health, where he held multiple leadership positions. As director of CODEX, Dr. Ranji leads the center’s strategic planning and the execution of its work to champion diagnostic excellence research and build awareness of and engagement within the field.
Learn more about Sumant here.