Building Capacity for Artificial Intelligence in Africa: A Cross-Country Survey of Challenges and Governance Pathways
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arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| author | Aryee, Jeffrey N. A. Davies, Patrick Torsah, Godfred A. Apaw, Mercy M. Boateng, Cyril D. Mwando, Sam M. Kwisanga, Chris Jobunga, Eric Amekudzi, Leonard K. |
| author_facet | Aryee, Jeffrey N. A. Davies, Patrick Torsah, Godfred A. Apaw, Mercy M. Boateng, Cyril D. Mwando, Sam M. Kwisanga, Chris Jobunga, Eric Amekudzi, Leonard K. |
| contents | Artificial intelligence (AI) is transforming education and the workforce, but access to AI learning opportunities in Africa remains uneven. With rapid demographic shifts and growing labour market pressures, AI has become a strategic development priority, making the demand for relevant skills more urgent. This study investigates how universities and industries engage in shaping AI education and workforce preparation, drawing on survey responses from five African countries (Ghana, Namibia, Rwanda, Kenya and Zambia). The findings show broad recognition of AI importance but limited evidence of consistent engagement, practical training, or equitable access to resources. Most respondents who rated the AI component of their curriculum as very relevant reported being well prepared for jobs, but financial barriers, poor infrastructure, and weak communication limit participation, especially among students and underrepresented groups. Respondents highlighted internships, industry partnerships, and targeted support mechanisms as critical enablers, alongside the need for inclusive governance frameworks. The results showed both the growing awareness of AI's potential and the structural gaps that hinder its translation into workforce capacity. Strengthening university-industry collaboration and addressing barriers of access, funding, and policy are central to ensuring that AI contributes to equitable and sustainable development across the continent. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_05432 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Building Capacity for Artificial Intelligence in Africa: A Cross-Country Survey of Challenges and Governance Pathways Aryee, Jeffrey N. A. Davies, Patrick Torsah, Godfred A. Apaw, Mercy M. Boateng, Cyril D. Mwando, Sam M. Kwisanga, Chris Jobunga, Eric Amekudzi, Leonard K. Computers and Society Artificial Intelligence Artificial intelligence (AI) is transforming education and the workforce, but access to AI learning opportunities in Africa remains uneven. With rapid demographic shifts and growing labour market pressures, AI has become a strategic development priority, making the demand for relevant skills more urgent. This study investigates how universities and industries engage in shaping AI education and workforce preparation, drawing on survey responses from five African countries (Ghana, Namibia, Rwanda, Kenya and Zambia). The findings show broad recognition of AI importance but limited evidence of consistent engagement, practical training, or equitable access to resources. Most respondents who rated the AI component of their curriculum as very relevant reported being well prepared for jobs, but financial barriers, poor infrastructure, and weak communication limit participation, especially among students and underrepresented groups. Respondents highlighted internships, industry partnerships, and targeted support mechanisms as critical enablers, alongside the need for inclusive governance frameworks. The results showed both the growing awareness of AI's potential and the structural gaps that hinder its translation into workforce capacity. Strengthening university-industry collaboration and addressing barriers of access, funding, and policy are central to ensuring that AI contributes to equitable and sustainable development across the continent. |
| title | Building Capacity for Artificial Intelligence in Africa: A Cross-Country Survey of Challenges and Governance Pathways |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2512.05432 |