Butcher, NeilWilson-Strydom, MerridyBaijnath, MohiniOrlic, DavorSmith, MatthewNeupane, BhanuShawe-Taylor, John2021-05-072021-05-072021-03-29http://hdl.handle.net/10625/59999Artificial Intelligence for Development (AI4D) Africa supported research on three key stakeholders involved in AI capacity building in sub-Saharan Africa (SSA): Centres of Higher Education and Training; Governments; and the broader AI community in the region. A comprehensive desktop literature review was also conducted. Taking available data into account together with the desktop review of literature and the findings from the UNESCO report, this detailed paper provides takeaways from the research. In line with the recommendations presented here, the key to creating a vibrant AI ecosystem is committed stakeholder engagement that pushes individual countries forward by building capacity in key areas.application/pdfenARTIFICIAL INTELLIGENCEMACHINE READABLE MATERIALSINCLUSIVE INNOVATIONHIGHER EDUCATIONICT4DINDUSTRY 4.0AUTOMATIONNETWORKED SOCIETYOPEN DATAOPEN ACCESSSCIENCE TECHNOLOGY AND INNOVATIONSOUTH OF SAHARAPolicy Brief