Artificial Intelligence Capacity in Sub-Saharan Africa

This report examines the AI landscape in Sub-Saharan Africa (SSA). Artificial Intelligence for Development (AI4D) Africa supported this research on three key stakeholders involved in AI capacity building in SSA, namely, Centres of Higher Education and Training, Governments, and the broader AI community in the region. A comprehensive desktop literature review was also conducted. This report presents the integrated results of the research with these stakeholders.

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Abstract

To guide future investments in capacity building that will build responsible AI development and deployment, it is important to know answers to questions such as: what does the AI landscape in SSA look like? What measures are stakeholders in the region taking to ensure that they are AI-ready?

Where does capacity already exist or not?

To answer these questions, Artificial Intelligence for Development (AI4D) Africa supported research on three key stakeholders involved in AI capacity building in SSA, namely, Centres of Higher Education and Training, Governments, and the broader AI community in the region. A comprehensive desktop literature review was also conducted. This report presents the integrated results of the research with these stakeholders.

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