To promote equitable health outcomes, aiming to advance the design and use of responsible AI through collaboration, education, and capacity-building opportunities.


  1. Encourage the exchange of ideas, build capacities, and opportunities for co-creation among LMIC-based researchers, implementers, and decision-makers in the field of AI in global health.
  2. Strengthen the global body of evidence by synthesizing outcomes and experiences from LMICs and generating knowledge products that address identified knowledge gaps.
  3. Enhance the capacities of researchers and implementers to produce rigorous research on responsible AI solutions to improve global health outcomes.
  4.  Support efforts to influence policy discourse and national, regional, and global development.