An open-source database of national AI strategies, draft bills, and long-term plans across Africa
An open-source database of national AI strategies, draft bills, and long-term plans across Africa
The African AI Policy Repository is a living, open-access digital archive of national artificial intelligence strategies, draft bills, and long-term plans from across the African continent. Its goal is to centralize fragmented information, support research, and foster collaboration across governments, academia, and civil society
This repository centralizes that information in one public, searchable hub, reducing duplication and making research, analysis, and policymaking more efficient
The repository encourages accountability and helps civil society, academia align with inclusive, ethical principles tailored to African realities.
This repository is a springboard for learning, cross-border collaboration, and evidence-based policymaking on the continent.
This repository is curated by Betty W. Kyalo, a researcher and advocate at the intersection of artificial intelligence, public policy, and digital development in Africa. With a background in Business and IT, Betty is deeply committed to shaping ethical AI governance frameworks that reflect the continent’s unique challenges and opportunities. Her work is grounded in the belief that inclusive, transparent, and values-driven AI policy is key to Africa’s sustainable digital future. Betty is actively working toward becoming an AI policy consultant to the African Union.
This repository is designed to be a trustworthy, research-grade resource. Every document included here follows a transparent curation process to ensure its authenticity, relevance, and accuracy. The methodology used is as outlined:
Verified sources only: All documents are sourced from official government websites, continental bodies (like the African Union), recognized research institutions (e.g., CIPIT, Smart Africa), or global policy networks.
Clear classification: Each document is tagged with its country, publication year, type (e.g., strategy, draft bill, long-term plan), status (draft/final), and language.
Continuous updates: The repository is regularly updated as new AI policy documents are published or validated.
No interpretations added: The full texts are preserved as-is, with links leading to official or view-only Google Drive versions for clean access.
Community verification: Users are encouraged to suggest edits or flag outdated/missing documents using a submission form.
This transparent process ensures the repository remains reliable for academic citation, policymaking, and cross-border benchmarking.
This repository is an independent knowledge-sharing initiative and is not affiliated with any government, intergovernmental organization, or regulatory body.
While every effort is made to provide accurate, up-to-date, and official information, the curator does not claim responsibility for any errors or omissions in the documents linked herein. Users are encouraged to consult official government portals or directly contact issuing bodies for the latest versions or legal status of documents.
All documents are made available strictly for educational, research, and policy analysis purposes. If you are a government official or policyholder and would like to update or remove a document, please reach out to us.