Artificial Intelligence in African Economic Development Potential and Challenges to Overcome
Date
2024Author(s)/Corporate Author (s)
United Nations. Economic Commission for Africa;United Nations. Economic Commission for Africa;
Metadata
Afficher la notice complèteRésumé
This report delves deeply into the issues related to artificial intelligence (AI), with a focus on its
potential for socio-economic transformation in Africa. After tracing the origins and various
typologies of AI, in-depth analyses are conducted on its impact on employment globally and the
disparities between developed and emerging countries. Special attention is given to key sectors
such as healthcare, automotive, and finance, which are particularly vulnerable to AI disruptions.
The dossier then examines the prospects for the evolution of AI, discussing the technical and
scientific challenges to achieving true general artificial intelligence. It also addresses the promising
but controversial emergence of organoid artificial intelligence, cultivating biological neural networks
and raising thorny philosophical and ethical questions.
The section devoted to Africa provides an overview of the continental AI landscape, highlighting its
immense economic potential estimated at nearly $1.5 trillion in GDP contribution by 2030. However,
challenges in terms of infrastructure, skills, and regulation are analyzed, calling for massive and
coordinated investments to develop a competitive AI ecosystem.
Concrete case studies illustrate innovative applications of AI in various strategic sectors such as
healthcare, agriculture, education, or financial services. Finally, recommendations are made for
Africa to become a major player in sovereign, ethical, and responsible AI, as a driver of sustainable
development
Citation
“United Nations. Economic Commission for Africa; United Nations. Economic Commission for Africa (2024). Artificial Intelligence in African Economic Development Potential and Challenges to Overcome. Addis Ababa. © UN.ECA. https://hdl.handle.net/10855/50180”Collections
- Science and Technology [1366]
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