AU AI Strategy
African Union Continental Artificial Intelligence Strategy
Continent-wide AI strategy endorsed by African Union Executive Council covering 55 member states. Phased implementation 2025-2030. Phase I (2025-2026) focuses on creating governance frameworks, developing national AI strategies, resource mobilization, and capacity building. Aims to harmonize AI development across Africa while respecting member state sovereignty.
Jurisdiction
African Union
Enacted
Jul 1, 2024
Effective
Jan 1, 2025
Enforcement
African Union Commission; individual member states
Endorsed by AU Executive Council July 2024; Phase I implementation 2025-2026
Cambridge Core - Data & PolicyWhy It Matters
First continental-scale AI governance framework globally. Signals Africa's coordinated approach to AI regulation. African markets will likely develop harmonized AI regulations rather than fragmented country-by-country rules. Phase I governance frameworks (2025-2026) lay foundation for future binding regulations across 55 nations.
Recent Developments
Endorsed July 2024, implementation began 2025. Phase I (2025-2026) currently underway focusing on governance frameworks and national strategy development. Represents first continent-wide coordinated approach to AI governance. Several member states (Egypt, Kenya, Nigeria, South Africa, Rwanda) already have national AI initiatives that will be harmonized with continental strategy.
Who Must Comply
- 55 African Union member states
- National governments developing AI strategies
- Regional Economic Communities (RECs)
- Private sector AI companies operating in Africa
- International companies investing in African AI
Obligations fall on:
Safety Provisions
- Phase I: Creation of governance frameworks for responsible AI
- Phase I: Development of national AI strategies in member states
- Phase I: Resource mobilization for AI infrastructure and capability
- Phase I: Capacity building programs for AI talent across continent
- Harmonized approach to AI ethics and governance across 55 nations
- Regional cooperation on AI safety and standards
Compliance & Enforcement
Key Dates
Dec 31, 2026
Phase I completion: Governance frameworks, national AI strategies, resource mobilization, capacity building
Dec 31, 2028
Phase II completion: Implementation and scaling (details TBD)
Dec 31, 2030
Phase III completion: Full implementation across member states
Penalties
Not applicable - non-binding guidance framework
View on map
African Union
Focus Areas
Cite This
APA
African Union. (2024). African Union Continental Artificial Intelligence Strategy.
Related Regulations
OECD AI Due Diligence
Non-binding OECD guidance applying the OECD's six-step responsible business conduct (RBC) due-diligence process to enterprises across the AI value chain, providing practical recommendations for identifying, preventing, mitigating, and accounting for adverse human-rights and societal impacts of AI systems.
UN AI Resolution
First-ever UN General Assembly resolution on AI. Adopted unanimously with 125 co-sponsors (US-led). Establishes human rights as applicable to AI lifecycle, encourages regulatory frameworks, and calls for bridging AI divides between countries. Non-binding but sets global normative expectations.
ISO 42001
First certifiable international standard for AI management systems. Uses Plan-Do-Check-Act methodology. Third-party certification available; major AI systems have achieved certification.
UN/ITU AI & Child Rights Statement
Non-binding multilateral statement signed by thirteen UN and international organisations setting out principles for protecting children's rights in the design, deployment, and governance of AI systems, including provisions on harmful content, age assurance, transparency, and child-rights impact assessments.
UNICEF AI for Children
Most specific international guidance on children and AI. Ten requirements for child-centered AI including development/wellbeing support, data/privacy protection, and safety.
MD HB 895
First US state law to outright ban surveillance-based personalized pricing in food retail and third-party delivery, prohibiting use of protected class data and dynamic pricing tied to consumer personal data with limited exceptions for cost-based pricing, loyalty programs, and explicit consent.
Last updated February 17, 2026. Verify against primary sources before relying on this information.