Kenya National Artificial Intelligence (AI) Strategy 2025 – 2030 [Draft]
KENYA NATIONAL ARTIFICIAL INTELLIGENCE (AI) STRATEGY 2025 – 2030 [DRAFT]
This document outlines Kenya's National Artificial Intelligence Strategy for 2025–2030, aiming to position the country as an African leader in AI research, development, innovation, and commercialization. It establishes a comprehensive framework structured around three pillars—AI Digital Infrastructure, Data, and AI Research and Innovation—alongside foundational enablers like governance, talent development, investment, and ethics. Developed through extensive stakeholder engagement, the strategy addresses critical national challenges, prioritizes key sectors such as agriculture and healthcare, and proposes actionable objectives and flagship projects to drive sustainable and inclusive economic growth.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, government officials, industry practitioners, researchers, and civil society stakeholders should read this to understand Kenya's roadmap for artificial intelligence development and governance.
What the document contains
The document addresses national AI digital infrastructure, data ecosystem governance, AI research and development capabilities, talent development, agile legal frameworks, public and private investments, and ethical standards. It provides a detailed environmental analysis, strategic options, and specific flagship projects for implementation.
Specific binding legislative texts, finalized budgetary allocations, and fully operationalized enforcement mechanisms are not included, as the document serves as a draft strategy for public validation.
- Kenya's AI strategy envisions the country as the leading African hub for AI model innovation and sustainable development.
- The strategy is anchored on three key pillars: AI Digital Infrastructure, Data, and AI Research and Innovation.
- Cross-cutting enablers include agile governance, talent development, strategic investments, and a commitment to ethics, equity, and inclusion.
- Priority use cases target sectors such as agriculture, healthcare, education, security, and public service delivery.
- A multi-stakeholder participatory approach was utilized to formulate the strategy, ensuring alignment with national values and development goals.
· Executive Summary · 1. Introduction · 2. AI and Emerging Technologies · 3. Environmental Analysis · 4. AI Strategy Foundations · 5. Strategic Decisions
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
Update and develop guidelines for accountable public sector AI procurement and deployment
5.2. Goals, Objectives, Flagship Projects, Outcomes and KPIs
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
Implement data labelling and classification policies that address bias
5.2. Goals, Objectives, Flagship Projects, Outcomes and KPIs
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
This strategy centres on the Kenyan citizen: it lays a framework that ensures Kenyans are empowered by AI technology
1. Introduction
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
AI is a powerful tool for sustainable development, designed to assist and simplify human tasks, solve critical challenges
1.1. Key Definitions
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
Enhance data residency requirements and ensure compliance with national data laws and regulations regarding data handling and storage
5.2. Goals, Objectives, Flagship Projects, Outcomes and KPIs
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Establish a mandatory ethical impact assessment process for AI technologies for public sector
5.2. Goals, Objectives, Flagship Projects, Outcomes and KPIs
screening score · 2026-10-23