State AI Sandboxes: A Regulatory Path Forward for Scaling Health Care AI

WEBINAR OVERVIEW

A place to test, learn, and build trust

Structured, not unregulated

A regulatory sandbox is not a permanent exemption from health care laws or a pathway for avoiding oversight. It is a time-limited and supervised environment with defined use cases, safety requirements, reporting obligations, and clear rules governing what an AI system may and may not do.

Style Variations

Health care professionals, patients, medical boards, regulators, and other affected stakeholders should be involved from the beginning. Their participation helps identify safety concerns, improve data collection, establish appropriate disclosures, and ensure that pilots address real clinical needs.

Pattern-ready

Sandboxes can generate real-world evidence about whether an AI application works, improves care, and can be used safely. Independent evaluation, transparent reporting, and third-party auditing can strengthen public trust and help policymakers determine whether a pilot should become a permanent regulatory pathway.

Featured Speakers

Cam Bronson, JD

Office of Artificial Intelligence Policy
Utah Department of Commerce

Tom Lee, MD

CEO
Galileo

Krista Drobac, MPP

Founder
Coalition to advance state ai sandboxes

Kavita Patel, MD, MS

Stanford Medicine
Moderator

ABOUT THE COALITION

Help shape the future of state AI policy

The Coalition to Advance State AI Sandboxes is bringing together health care providers, patient advocates, policymakers, technology leaders, and other stakeholders to develop responsible state frameworks for testing and scaling health care AI.

The coalition’s goal is to support transparent, evidence-based policies that encourage innovation while protecting patients, preserving clinical accountability, and building public trust.