Initiative overview
Kenya’s Artificial Intelligence Strategy 2025–2030 sets out a national framework to leverage artificial intelligence for socio‑economic development, economic growth, and social inclusion, while positioning Kenya as a regional leader in AI research, innovation, and application. The strategy recognises AI as a transformative technology across multiple sectors and highlights the need to safeguard national interests through data sovereignty, cybersecurity measures, and ethical oversight. It was developed through extensive consultations with government institutions, the private sector, academia, civil society, international partners, and local communities.
The strategy is organised around three core pillars: AI digital infrastructure, data, and AI research and innovation. These are supported by four cross‑cutting enablers—governance, talent development, investment, and ethics, equity, and inclusion. Together, they aim to modernise national digital infrastructure for AI access, establish a robust and sustainable data ecosystem, and strengthen local AI research, development, innovation, and commercialisation. The strategy addresses identified challenges such as skills gaps, fragmented governance frameworks, limited access to quality data, and underinvestment in local AI research, while building on existing strengths including Kenya’s dynamic innovation ecosystem, young digital‑ready population, expanding digital infrastructure, and foundational legal frameworks such as the Data Protection Act.
Priority sectors for AI adoption explicitly identified include agriculture, healthcare, education, public service delivery, security, financial services, micro‑, small and medium‑sized enterprises, the creative sector, and sustainability. The strategy outlines priority use cases such as multilingual chatbots for public services and healthcare, AI‑enabled agricultural advisory systems, intelligent tutoring systems, and tools to improve efficiency in public service delivery. It defines goals, objectives, flagship projects, intermediate outcomes, and key performance indicators to guide implementation and measure progress.
Governance, ethics, and oversight are central components of the strategy. It calls for harmonised national policies for AI and emerging technologies, agile legal and regulatory frameworks, and AI risk and safety mechanisms. Ethical, responsible, and inclusive AI development is emphasised through impact assessments, sector‑specific standards, public participation, and AI literacy initiatives. Monitoring and evaluation are linked to defined objectives and indicators to support adaptive implementation and alignment with national priorities.
Name of responsible organisation (in English)
Mechanisms to involve stakeholders in strategy design, implementation or monitoring
Please describe these mechanisms or other efforts for stakeholder engagement
Is there a mechanism to monitor implementation?
Yes
Monitoring mechanism description
Has this initiative been evaluated?
Not yet, but an evaluation is foreseen
Are evaluation results public?
No
