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The “AI and Public Health” Expert Panel Series is a six-month virtual dialogue series aimed at convening thought leaders, technologists, policymakers, funders, and public health professionals to unpack the complex intersections of artificial intelligence and global health. Each session will offer deep dives into timely and critical issues, enabling nuanced analysis, diverse perspectives, and strategic foresight.
This format is designed to spark interactive discussion, enhance cross-sectoral understanding, and position participating organizations as leaders in shaping the responsible, equitable, and effective use of AI in health systems.
Most AI solutions are built for high-resource environments with assumptions of stable internet, continuous power, and advanced devices. However, many public health systems—particularly in LMICs—operate in contexts where such infrastructure is limited or unreliable. This session explores how AI can be meaningfully adapted to low-resource settings, ensuring inclusive innovation that reaches the last mile. By spotlighting edge computing, offline capabilities, and local design considerations, the discussion aims to advance equity in AI deployment across diverse geographies.
Key Focus AreasPATH-OECD, PhixAi Webinar 1- Designing AI for Low-Connectivity & Resource-Constrained Health Systems
Despite a surge in AI pilots across public health, few transition to sustained implementation. This session explores how governments can institutionalize AI by embedding it into policy, procurement, and public sector practice. With AI increasingly driving digital transformation, the focus is shifting from tech-led innovation to policy and business-led adoption. The discussion will unpack how leadership buy-in, bureaucratic alignment, and procurement reforms can enable long-term scale.
Key Focus AreasDespite growing momentum, funding for AI in health—especially in LMICs—remains limited, fragmented, and perceived as high-risk. This session explores what funders are prioritizing, how to de-risk investments, and what it takes to build sustainable financing models that support not just innovations, but the ecosystems that enable them. By unpacking funding flows—from connectivity and data infrastructure to workforce and long-term system operations—the discussion will offer practical insights for both funders and implementers navigating AI integration at scale.
Key Focus AreasAs AI accelerates, frontline health workers—nurses, community health workers, and technical support staff—remain underrepresented in its design and deployment. This session explores how AI can augment, not displace, the health workforce, and what it takes to ensure these essential roles are strengthened, not sidelined. It also addresses the often-overlooked technical workforce that sustains AI tools behind the scenes, and the public’s emerging role in their own care through AI-enabled health literacy. With rapid advancements ahead, the session will reflect on how to prepare health systems and professionals for future- ready, workforce-integrated AI.
Key Focus AreasWhile many countries and global bodies have issued AI ethics and governance principles, the gap between high-level guidelines and real-world enforcement remains wide. This session explores how national and international actors can translate principles into practice—through regulatory capacity building, cross-border alignment, and context-aware implementation strategies. By spotlighting governance challenges across diverse settings, the session aims to unpack what it takes to move from aspiration to accountability in responsible AI for health.
Key Focus AreasArtificial intelligence is not just transforming healthcare—it is reshaping global influence, multilateral cooperation, and the architecture of global health governance. As technology evolves faster than policy, this session explores how AI can be leveraged as a diplomatic tool to advance equity, strengthen global collaboration, and future-proof governance models. The discussion will reflect on how global and regional actors can move beyond static principles toward adaptive, proportional, and inclusive governance that balances innovation, safeguards, and long-term public value.
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