Drafted by ; Linet S Patriciah
Ministry of Information, Communications and the Digital Economy
July 30, 2026
Table of Contents
This summary document provides a structured overview of Kenya's national AI policy framework, organized for efficient stakeholder review and reference.
Document Sections
- Executive Overview 1.
- Policy Goal & Core Objectives 2.
- Nine Thematic Pillars 3.
- Key Policy Issues & Rationale 4.
- Guiding Principles 5.
- Implementation & Governance Structure 6.
Continued
- Legal & Regulatory Framework 1.
- Monitoring, Evaluation & Learning 2.
- Scope & Application 3.
Source Document: Kenya AI and Other Emerging Technologies Policy (2026), Ministry of Information, Communications and the Digital Economy (MICDE), State Department for ICT and the Digital Economy
Kenya's Comprehensive Framework for Responsible AI Development and Deployment
The Kenya AI and Other Emerging Technologies Policy (2026) establishes a unified national framework to guide the governance, development, deployment, and use of AI and emerging technologies across all sectors of the economy and public life.
Global GDP Contribution
Projected AI contribution to global GDP by 2030, underscoring the strategic imperative for Kenya's engagement
Thematic Pillars
Interconnected policy pillars spanning research, governance, ethics, infrastructure, and sovereignty
Guiding Principles
Core principles anchoring responsible, rights-based, and inclusive AI governance across all sectors
Kenya aims to transition from fragmented adoption to coordinated national capability, positioning itself as a regional leader in responsible, inclusive, and innovation-driven AI development. The policy addresses critical governance gaps, skills shortages, data fragmentation, and digital sovereignty concerns.
Policy Goal & Core Objectives
Establishing Coherent Governance While Enabling Innovation and Protecting Rights
The overarching policy goal is to establish a coherent, rights-based, innovation-enabling framework that strengthens public value, safeguards rights and safety, promotes sustainable economic growth, and enhances national resilience.
Research & Innovation
Strengthen research and innovation ecosystems for AI capability development
Sectoral Applications
Promote responsible AI applications across agriculture, health, education, finance, and public services
Human Capital
Develop workforce skills and education pipelines for the AI economy
Green Intelligence
Establish environmental sustainability frameworks for AI infrastructure and operations
Governance Structures
Create coordinated, multi-level institutional governance for AI oversight
Data Ecosystems
Build trusted, interoperable data ecosystems with robust standards
Ethics & Safety
Ensure ethical, safe, and accountable AI deployment across all contexts
Sovereignty
Guarantee digital sovereignty and establish Kenya as a regional AI testing leader
Source: Chapter 1: Introduction (Section 1.4) · Pages 19–20 (Policy Goal and Objectives)
Nine Thematic Pillars
Integrated Policy Framework Across Key Strategic Areas
The policy is organized around nine interconnected pillars addressing Kenya's transition from technology consumption to technology production and value creation.
These pillars collectively address the full spectrum of AI governance — from foundational research and skills development through to ethical deployment, infrastructure readiness, and national strategic autonomy.
Source: Chapter 3: Policy Statements (Sections 3.1–3.9) · Pages 54–75
Key Policy Issues & Rationale
Addressing Critical Governance Gaps and Strategic Imperatives
17 Critical Issues Identified
- Absence of comprehensive governance frameworks
- Fragmented institutional coordination
- Skills gaps and labour transition risks
- Dependence on foreign digital infrastructure
- Data gaps and weak interoperability
- Risks of inequality and exclusion
- Underinvestment in R&D
- Limited legal specificity for AI contexts
- Environmental sustainability concerns
- Unclear accountability frameworks
- Risks in public sector AI use
- Weak assurance and testing capacity
- Inadequate governance of market power
- Insufficient protection of language and cultural data
- Weak labour-transition architecture
Five Strategic Imperatives
Coherence
Unified national framework replacing fragmented approaches
Opportunity
Capturing economic and social value from AI adoption
Strategic Sovereignty
Reducing dependency on foreign technology and infrastructure
Constitutional Delivery
Upholding Kenya's constitutional values and rights obligations
Environmental Stewardship
Ensuring sustainable and green AI development practices
Source: Chapter 1: Sections 1.2–1.3 · Pages 15–18 (Policy Issues and Rationale)
Guiding Principles
16 Core Principles for Responsible AI Governance
The policy is anchored by sixteen principles that collectively define Kenya's approach to rights-based, human-centred, and innovation-enabling AI governance.
🏛️ Rights & Human-Centeredness
- Human Rights-Based Approach
- Human-Centeredness with meaningful control
- Protection of Human Agency
- Inclusion and Equity
⚖️ Governance & Accountability
- Risk-Based and Proportionate Regulation
- Safety, Security, and Robustness
- Transparency, Accountability, and Right to Know
- Public Participation and Democratic Governance
🌍 Sovereignty & Value Creation
- Sovereignty and Strategic Autonomy
- Local Value Creation
- Community and Mutual Responsibility (Harambee)
- Interoperability and Open Standards
🌱 Sustainability & Innovation
- Sustainability
- Innovation Enablement
- Public Value and State Capability
- Do No Harm (Non-Maleficence)
Source: Chapter 1: Section 1.6 · Pages 24–27 (Guiding Principles)
Implementation & Governance Structure
Coordinated Multi-Level Governance with Clear Institutional Roles
Implementation adopts a hybrid model combining central coordination with distributed execution across all levels of government, the private sector, academia, and civil society.
The framework emphasizes multi-agency coordination, international cooperation, and strategic national missions to drive coordinated capability development across the full AI value chain — from research and development through to deployment and evaluation.
The AI and Other Emerging Technologies Council will provide strategic oversight, supported by a dedicated AI Office responsible for coordination, technical support, and performance tracking across all implementing entities.
Source: Chapter 4: Implementation Framework (Sections 4.1–4.3) · Pages 77–86
Legal & Regulatory Framework
Comprehensive Legal Reforms and Standards Development
Existing Statutes to be Aligned
Data Protection Act 2019
Updated to address AI-specific data processing, consent, and rights requirements
Kenya Information and Communications Act
Aligned with AI infrastructure, platform governance, and digital services obligations
Computer Misuse and Cybercrimes Act 2018
Extended to cover AI-enabled threats, deepfakes, and automated cyberattacks
Key Legislative Proposals
- AI-specific governance legislation
- Data governance and interoperability standards
- Algorithmic accountability and transparency requirements
- AI assurance and testing frameworks
- Public sector AI governance guidelines
- Labour protection standards for AI value-chain workers
- Environmental sustainability standards for AI systems
The framework incorporates international conventions and best practices while maintaining Kenya's constitutional values and national interests.
Source: Chapter 4: Section 4.5 · Pages 89–93 (Legal and Regulatory Framework)
Monitoring, Evaluation & Learning Framework
Robust Accountability and Adaptive Policy Management
The policy establishes a comprehensive Monitoring, Evaluation, Reporting and Learning (MERL) framework guided by principles of transparency, inclusivity, and continuous improvement.
Baseline & Indicators
Context-specific indicators with baseline values to measure policy progress and sectoral impact over time
Activity Monitoring
Defined timeframes and budgets for all implementation activities with structured reporting mechanisms
Risk Management
Protocols for identifying, assessing, and mitigating implementation risks across all governance levels
Adaptive Review
Periodic policy updates to reflect technological change, implementation experience, and emerging evidence
This framework ensures accountability, enables evidence-based learning, supports adaptive management, and allows for periodic policy updates to reflect technological change and implementation experience.
Source: Chapter 5: Monitoring, Evaluation, Reporting and Learning · Pages 97–104
Scope & Application
Comprehensive Coverage Across Technologies, Actors, and Sectors
Who It Applies To
- All public sector entities and government agencies
- All private sector companies operating in Kenya
- Civil society organisations and NGOs
- Foreign entities whose AI systems have effects in Kenya
Technology Definition
Applies to technologies meeting two or more criteria: rapid evolution, convergence potential, lack of comprehensive governance, or raising governance/ethical issues.
Lifecycle Coverage
Research & Development
Testing & Assurance
Deployment & Operation
Decommissioning
Transitional Provisions
- 2–3 year transitional periods for legacy systems
- New systems must comply upon implementation of regulations
- Risk-based approach ensures proportionate obligations
Source: Chapter 1: Section 1.5 · Pages 21–27 (Scope of the Policy) · Kenya AI and Other Emerging Technologies Policy, Ministry of Information, Communications and the Digital Economy, July 2026
Kenya Artificial Intelligence and Other Emerging Technologies Policy