Why Evaluating AI Health Interventions Is Broken (And What to Do About It)
Critical look at why evaluating AI health interventions is often inadequate and what better evaluation frameworks should require.
Critical look at why evaluating AI health interventions is often inadequate and what better evaluation frameworks should require.
CDC success story: using AI to improve public health efficiency and outbreak response readiness through data modernization.
New York City AI Action Plan: strategy for responsible AI use in city government, services, and public engagement.
PAHO guide on designing AI prompts for public health: covers objectives, audience, tone, format, and treating prompts as living protocols.
BCG analysis of 165M U.S. jobs: 50–55% reshaped (not replaced) by AI in 2–3 years; only 10–15% at risk of elimination. Six-category framework.
CDC guide for STLT public health agencies on adopting generative AI tools: governance, risk management, and responsible use practices.
NASCIO report on the evolving role of state CIOs as change leaders navigating AI adoption, modernization, and workforce shifts.