Trust in health care AI won’t happen by hype. It will be earned through transparent standards, independent evaluation, and real-world performance monitoring.

In this episode, Dr. Brian Anderson, President & CEO and Co-Founder of the Coalition for Health AI (CHAI), discusses why health care needs a technically specific, use-case-by-use-case definition of “good” AI and how CHAI is building voluntary consensus-driven guidelines around fairness, transparency, safety, robustness, and privacy. He shares how his frustration with bloated EHR workflows pushed him into digital health innovation, then into pandemic-era public-private coordination during Operation Warp Speed, where rapid collaboration revealed what’s possible when incentives align. Brian explores CHAI’s “AI nutrition labels” (model cards), an emerging registry, and why vendors may opt into scrutiny to speed sales cycles and prove value. He also digs into ambient clinical documentation, performance metrics that matter to clinicians, cost pressure through apples-to-apples comparisons, agentic AI to expand rural access, and the alignment and biosecurity risks that demand vigilance.

Tune in and learn how to build and verify AI that improves care without sacrificing safety, equity, or trust!

Resources

Connect with and follow Brian Anderson on LinkedIn.
Learn more about the Coalition for Health AI (CHAI) on LinkedIn.
Explore CHAI’s website.

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Who Guards Healthcare AI? Inside CHAI’s Push for Trust and Transparency with Dr. Brian Anderson