Responsible Deployment At Scale for Health Innovations Using Artificial Intelligence

Artificial intelligence (AI) is increasingly being used across clinical and public health systems in low‑ and middle‑income countries to improve health service delivery, surveillance, and decision‑making. However, many AI‑enabled health applications are scaled without sufficient attention to health systems strengthening, equity, responsible AI principles, or long‑term sustainability. In the absence of deliberate planning, scaling AI solutions risks reinforcing gender and social inequities, undermining ethics and trust, and further fragmenting already strained health systems.This project aims to strengthen the evidence base for responsibly scaling AI in health systems by developing and testing a Global South‑driven scaling evaluation framework and documenting diverse scaling trajectories through multi‑country case studies across Africa, Asia, Latin America and the Caribbean, and the Middle East and North Africa. Through competitively awarded seed grants, the project will support AI innovations addressing sexual, reproductive and maternal health and climate‑sensitive epidemics, while generating practical guidance, case studies, policy briefs, and training materials. Together, these efforts will build the capacity of researchers, implementers, and policymakers to plan, evaluate, and manage AI scale‑up in ways that are equitable, contextually grounded, and aligned with responsible AI principles.