Why Public Health Must Help Shape the Future of AI in Health

New commentary by Dr. Debbie Cheng argues that trustworthy AI depends on embedding public health leadership throughout the AI life cycle.

By Brendan Galvin

From disease surveillance to clinical care, artificial intelligence is transforming health. As AI becomes more deeply embedded in decisions affecting population health, a new editorial argues that realizing AI’s full potential requires public health leadership alongside technical innovation.

Dr. Debbie Cheng, assistant dean of data science at Boston University School of Public Health, and lead author of a new peer-reviewed opinion piece published in American Journal of Public Health makes the case that public health leadership is essential to building trustworthy AI in health. Dr. Sandro Galea, dean of the Bursky School of Public Health at Washington University in St. Louis, and Dr. Madhu Mazumdar, director of the Institute for Healthcare Delivery Science at the Mount Sinai Health System in New York City, coauthored the article.

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