Background and rationale
Artificial Intelligence (AI) is bringing significant benefits in a wide range of areas of development in Africa. However, alongside these opportunities, AI presents a number of significant risks in the continent where legal frameworks, data governance mechanisms, and institutional capacities are still evolving (UNESCO, 2021; Clarke De La Cerda et al., 2024).
Several international frameworks offer structured approaches to AI risk governance such as the NIST AI Risk Management Framework (NIST, 2023), the European Union’s AI Act (European Commission, 2021), the UNESCO Recommendation on the Ethics of AI (UNESCO, 2021). Despite their strengths, these frameworks are not fully tailored to African contexts.
This reality calls for the development of a context-sensitive, African-led methodological framework for analyzing and mitigating the risks of AI. Such a framework would reflect the continent’s unique sociopolitical, linguistic, and technological conditions, and support more equitable and accountable AI governance.
Objectives
The primary objective of this initiative is to develop a methodological reference document that will serve as a foundation for:
– Mapping and categorizing the main risks of AI deployment in African contexts;
– Proposing a risk typology and structured analysis grid, tailored to African socio-technical realities;
– Defining qualitative and semi-qualitative metrics to assess exposure to risks without relying heavily on data collection;
– Providing a practical tool for policymakers, researchers, regulators, and technology stakeholders across the continent.
Expected results
– A robust and context-specific reference for understanding and assessing AI risks in Africa;
– Enhanced capacity of African states, institutions, and partners to monitor, anticipate, and mitigate AI-related risks;
– Standardization of risk analysis practices across the continent;
– Promotion of research, documentation, and advocacy around responsible AI governance;
– A tool that will inform national AI strategies and digital transformation policies.
Impacts
– Strengthening Africa’s digital sovereignty in the face of foreign technological dependencies;
– Promoting inclusive and ethical AI adoption, grounded in local realities and human rights;
– Equipping African policymakers, institutions, and innovators with practical tools to govern AI responsibly;
– Enabling Africa to articulate a strong, informed voice in global discussions on AI ethics, risk, and governance.
References
- Clarke De La Cerda, J., Bejaui, R., & Bonyo, L. (2024). AI innovation in Africa: An overview of opportunities, risks and the legal context. Communication, technologies et développement, 16. https://doi.org/10.4000/12nfk
- European Commission. (2021). Proposal for a Regulation Laying Down Harmonised Rules on Artificial Intelligence (AI Act). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206
- NIST. (2023). AI Risk Management Framework (RMF 1.0). https://www.nist.gov/itl/ai-risk-management-framework
- UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. https://unesdoc.unesco.org/ark:/48223/pf0000381137