Responsible AI. Empowering People.

Africa’s healthcare challenges demand locally built AI solutions grounded in context. From data and infrastructure to policy and education, supporting local innovators is key to creating trusted, scalable systems. By investing in homegrown talent and enabling environments, the continent can reduce reliance on foreign technologies and build resilient, people-centered health systems for the future.

The closure of Koko Networks highlights the fragile intersection of climate innovation, carbon finance, and regulatory uncertainty in Africa. Despite serving over a million Kenyan households with clean cooking fuel, the company’s collapse reveals how unclear approval processes, carbon market dependence, and policy risks can undermine promising climate enterprises.

AI tools hold immense promise, but real-world outcomes often depend on how they interact with people and contexts. Research shows that factors like access, comprehension, trust, and opportunity what experts call “inflection points” can determine whether AI interventions succeed or fail. Case studies from Africa and beyond reveal that even high-performing models only deliver impact when these social and institutional conditions align