The US AI health data collision: Charting the future of US cross-border data flow policy, health data, and health and biopharma AI policy : Atlantic Council , April , 2026
The US AI health data collision: Charting the future of US cross-border data flow policy, health data, and health and biopharma AI policy : Atlantic Council , April , 2026
From the report: “Healthcare artificial intelligence (AI) is a promising area of AI research and development. Meanwhile, this area raises critical questions about transparency, auditability, privacy, cybersecurity, inequity, national security, and more. Data from populations across the world, from the individual to population levels, are necessary for curing disease, innovating treatment, advancing research, and assessing and responding to public health threats, among many other functions. Collecting, analyzing, and sharing health data can and does have many tangible benefits for society. Simultaneously, collecting, analyzing, and sharing health data necessarily creates risks, such as privacy risks to individuals and populations and cybersecurity risks to organizations.”
Authors - Sherman, JustinRelated Resources
