AI in Cameroonian Agriculture: Three Startups Trying to Solve a Real Problem
Plant disease detection from a phone camera is a well-suited problem for machine learning. Getting it to work for a smallholder in the Far North is a different question.
AI in Africa
A full editorial vertical, not a sidebar. African AI labs, models built for African languages, AI in African healthcare and agriculture, and the policy decisions that will determine whether African countries are AI consumers or AI contributors.
African Languages and AI: Why the Gap Is Bigger Than Most Reports Admit
Benchmarks that report African language coverage tend to measure the wrong thing. What breaks is not translation quality but everything downstream of it.
Building AI Products for Users on Bad Connections
Streaming responses, hopeful reconnects and generous payloads all assume a connection that a great many users do not have.
The Data Work Behind the Models, and Who Does It
Annotation, moderation and evaluation are done by people, a great many of them in East and West Africa, and the conditions attached deserve more attention than they get.