AI Explained: From Hype to Impact — Governing AI Agents in Healthcare

February 19, 2026

10:00AM PT / 1:00PM ET

Registration is now closed. Please check back later for the recording.

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Healthcare is deploying AI agents that monitor patients, intervene in clinical protocols, and operate around the clock, making autonomous decisions in life-or-death scenarios. As hospitals evolve into multi-agent ecosystems, the challenge isn't just deployment but maintaining human oversight and control.

Join Dr. Zafar Chaudry, Chief Digital and AI Officer at Seattle Children's Hospital, for a candid conversation about where agents are making a difference and how to govern autonomous decision-making.

Where agents are delivering measurable impact in healthcare today
The governance approaches needed to maintain human oversight
What separates agent hype from healthcare reality

AI Explained is our AMA series featuring experts on the most pressing issues facing Agentic and ML teams.

Can’t attend live? You should still register! Recordings will be available to all registrants after the event.

Featured Speakers

Dr. Zafar Chaudry

SVP and Chief Digital and AI Officer

Seattle Children’s Hospital

Dr. Zafar Chaudry is Senior Vice President, Chief Digital Officer, and Chief AI and Information Officer at Seattle Children's Hospital, where he leads technology initiatives across clinical care, operations, and AI innovation. A practicing physician turned digital leader, he has successfully deployed AI agents in high-stakes clinical environments, including systems that have achieved 100% opioid-free outpatient surgeries and predictive interventions for stroke prevention. With over 30 years of experience spanning healthcare systems in the U.S., U.K., and globally, Dr. Chaudry is recognized for his pragmatic approach to AI deployment and his focus on human-centered design in healthcare technology.

Krishna Gade

Founder and CEO

Fiddler AI

Krishna Gade is the Founder and CEO of Fiddler AI, an enterprise AI Observability startup, which focuses on monitoring, explainability, fairness, and responsible AI governance for predictive and generative models. AI Observability is a vital building block and provides visibility and transparency to the entire enterprise AI application stack. An entrepreneur and engineering leader with strong technical experience in creating scalable platforms and delightful consumer products, Krishna previously held senior engineering leadership roles at Facebook, Pinterest, Twitter, and Microsoft.