Bridging the AI divide in sub-Saharan Africa: Challenges and opportunities for inclusivity
Masike Malatji

TL;DR
This paper analyzes the disparities in AI readiness across sub-Saharan African countries, highlighting challenges and proposing strategies to promote inclusivity through education, policy, and collaboration.
Contribution
It provides a comprehensive assessment of AI readiness in SSA using the 2024 Index and offers actionable recommendations to bridge the AI digital divide.
Findings
Mauritius and South Africa lead in AI readiness
AI progress does not always align with GDP per capita
Key strategies include talent development and policy interventions
Abstract
The artificial intelligence (AI) digital divide in sub-Saharan Africa (SSA) presents significant disparities in AI access, adoption, and development due to varying levels of infrastructure, education, and policy support. This study investigates the extent of AI readiness among the top SSA countries using the 2024 Government AI Readiness Index, alongside an analysis of AI initiatives to foster inclusivity. A comparative analysis of AI readiness scores highlights disparities across nations, with Mauritius (53.94) and South Africa (52.91) leading, while Zambia (42.58) and Uganda (43.32) lag. Quartile analysis reveals a concentration of AI preparedness among a few nations, suggesting uneven AI development. The study further examines the relationship between AI readiness and economic indicators, identifying instances where AI progress does not strictly correlate with Gross Domestic Product…
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Taxonomy
TopicsEthics and Social Impacts of AI · Economic Growth and Development · ICT in Developing Communities
