PILLARs
Public Health Infrastructure & Learning Laboratory for AI Readiness
A South–South learning exchange where governments exchange experience and strengthen country-led foundations for responsible AI in public health.
How it works
PILLARs connects governments across the Global South to exchange experience, solve shared system challenges, and strengthen country-led readiness for AI in public health.
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Creates a mechanism of knowledge exchange among governments facing similar public health and digital transformation challenges across the Global South.
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Centers country experience and implementation realities so practical learning is shaped by what governments are doing in real time.
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Captures practical tools, tested approaches, and lessons from across the network so countries can adapt them in their own contexts.
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Builds a space for governments and partners to work through common bottlenecks together, from governance to interoperability and workforce readiness.
Shared learning
Country experience becomes learning on what makes responsible AI possible in public health
The hub features publicly available country spotlights and gives members access to use-case deep dives, practical models, implementation tools and convening lessons that help governments and partners learn from practice, adapt tested approaches and strengthen AI-ready public health systems.
How to explore
Convenings
Explore Past and Future events designed for shared learning, practical exchange, and collective problem-solving.
Learn moreKnowledge hub
Access resources and lessons drawn from country experience across the Global South.
Learn moreFoundations & Futures
Reimagining Public Health in the AI Era Across the Global SouthRead Foundations & Futures, the report at the foundation of PILLARs and its approach to responsible AI in public health.
A cross-regional networks grounded in shared learning and public leadership
PILLARs brings together member states committed to strengthening the public health data, governance, and digital foundations needed for responsible AI adoption.
