Our aim is to advance the design and use of responsible AI that improves equitable health outcomes through connecting ideas, people and capacity strengthening opportunities.


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