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Healthcare AI Policy Steering Committee

About the Committee

Stanford HAI’s Healthcare AI Policy Steering Committee is a multidisciplinary committee of Stanford faculty and scholars that are working together to advance the governance of healthcare AI. We are a group of academics, physicians, lawyers, computer scientists, and ethicists who believe deeply in both the power of AI applications to transform healthcare delivery and the urgent need to review existing regulatory frameworks to ensure these tools are safe, fair, and secure for clinical use. By conducting interdisciplinary, evidence-based research and convening multi-stakeholder discussions, we aim to develop tangible recommendations for policymakers that help ensure healthcare AI can benefit patients, doctors, and developers alike.

 

Committee Members

FacultyResearch Staff

Recent Activities

Healthcare AI Policy Workshop

In May 2024, the Healthcare AI Policy Steering Committee convened a select group of 50+ leading policymakers, scientists, healthcare providers, ethicists, AI developers, and patient advocates for a closed-door workshop to discuss the path forward for healthcare AI governance. Under the Chatham House Rule, participants discussed shortcomings in federal healthcare AI policy in three areas: AI software for clinical decision support, healthcare enterprise AI tools, and patient-facing AI applications.

Chart showing poll results from an informal poll of participants at Stanford HAI's Healthcare are Ai Policy Workshop regarding how effective governance of healthcare AI can be achieved. Results show less than 10% answered "minor changes to existing regulation," 55% respondents said "substantial changes to existing regulation," and 37% said "a novel regulatory framework."

Related Publications

Illustration of healthcare technology and applications

Pathways to Governing AI Technologies in Healthcare

by Caroline Meinhardt, Alaa Youssef, Rory Thompson, Daniel Zhang, Rohini Kosoglu, Kavita Patel, Curt Langlotz
July 15th, 2024

Leading policymakers, academics, healthcare providers, AI developers, and patient advocates discuss the path forward for...