To promote equitable health outcomes, aiming to advance the design and use of responsible AI through collaboration, education, and capacity-building opportunities.
- 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.
- Strengthen the global body of evidence by synthesizing outcomes and experiences from LMICs and generating knowledge products that address identified knowledge gaps.
- Enhance the 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 national, regional, and global development.