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Strengthening Africa’s AI Ecosystem Through Open-Source Innovation

Domaine:

digital infrastructure

Type de record:

paper
Créateur:
Sum
Éditeur:
Oxf
Hôte:
Abstract This article examines how open-source artificial intelligence (AI) can meaningfully advance Africa’s technological development and identifies what must be in place for this potential to be realized. Based on a detailed assessment of the continent’s AI landscape, it specifies the core requirements for adopting open-source AI and shows how four structural limitations—scarcity of high-quality data, inadequate computing infrastructure, shortages of talent, and fragmented regulatory regimes—currently constrain progress. Using technological sovereignty as an analytical lens, the article proposes how African countries can build the capacity to use and adapt open-source AI according to their own priorities. Two complementary strategies are proposed: regional resource federation, to establish shared computing facilities and harmonized data-protection standards, and inclusive public–private partnerships, to mobilize investment, facilitate knowledge transfer, and adapt AI systems to African contexts. Together these measures outline a practical path for building resilient, locally governed AI capacity suited to Africa’s long-term development goals.

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doi.org