Stanford colloquium: choosing insight over overload in the age of AI
jonc101x · x · 2026-10-29
Stanford Computational Medicine is promoting an online colloquium, "Choosing Insight Over Overload in the Age of AI," by Dr. Philip R.O. Payne, Chief Health AI Officer at Washington University in St. Louis and founding director of I2DB, scheduled Thursday, October 29, 2026, 12:00–1:00 pm PST, with livestream link and webinar credentials provided. The abstract frames medicine as a knowledge-processing discipline and AI as its newest chapter, and draws on diagnostic reasoning trials, ambient documentation deployments, and multi-institutional validation studies to describe two divergent paths for health systems: poor design compounding data overload, alert fatigue, and inequity, versus well-governed, explainable AI delivering genuine insight and better outcomes.
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