Record STMT-WF1B472Aspirational

National Artificial Intelligence Strategy

Strategy State lawSub-Saharan Africa · NGadopted

Nigeria's National Artificial Intelligence Strategy (NAIS) serves as a comprehensive 5-year roadmap to guide the country's adoption of artificial intelligence for socio-economic change. The strategy outlines a vision to become a global leader in AI through ethical innovation, local talent, and strategic collaboration across five core pillars: foundational infrastructure, ecosystem development, sector adoption, responsible AI, and a governance framework. It addresses critical national challenges such as workforce development, infrastructure gaps, data quality, and risk mitigation.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Federal Ministry of Communications, Innovation and Digital EconomyGovernment (executive) · NG

Lead issuer

Legal forceAspirational

Under whose authorityState law

Judged fromfull text

Who it governs

National governmentPublic sector bodiesCompaniesAI developers and providersAI deployers and usersResearchers and academics

Policymakers, researchers, industry practitioners, and international partners should read this to understand Nigeria's strategic priorities, regulatory direction, and implementation roadmap for artificial intelligence.

Sectors

Cross-sectorTelecommunications and digital services · AI and digital technology servicesResearch and science · AI research and development

What the document contains

What's covered

The document addresses national artificial intelligence adoption across five strategic pillars, detailing initiatives for building high-performance computing infrastructure, fostering a world-class startup and research ecosystem, driving sector-specific transformations, establishing ethical frameworks, and implementing regulatory governance.

What's missing

Binding statutory enforcement mechanisms or detailed civil penalties for non-compliance are not fully detailed within the strategy text.

Key takeaways

Nigeria aims to become a global leader in AI by leveraging ethical innovation, local talent, and strategic collaboration.
The strategy rests on five pillars: foundational infrastructure, ecosystem development, sector transformation, ethical deployment, and a robust governance framework.
Implementation relies on a multi-stakeholder approach involving the public and private sectors, academia, and civil society.
Significant focus is placed on addressing local challenges such as compute capacity, data availability, brain drain, and workforce upskilling.
Risk mitigation and adherence to ethical principles, including alignment with the Nigeria Data Protection Act, are central to the strategy.

Principles it states

Responsible and Ethical ConductInclusivity and Shared ProsperityInnovation and AdaptationSustainabilityCollaborationGlobal LeadershipTransparency and AccountabilityHuman-CentricRisk Management and ResilienceData Protection

Outline

· Acknowledgements
· Contents
· Executive Summary
· Foreword
· Acronyms
· Introduction
· Vision & Guiding Principles
· Strategic Objectives
· Strategic Pillars
· Risks & Mitigation Strategies
· Conclusion
· Appendices

IssuedSeptember 2025

Length22,694 words · 81 pages

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

Clear and comprehensive set of ethical principles for AI, addressing fairness, transparency, accountability, privacy, and human well-being.

Strategic Pillars

screening score · 2026-10-23

Fairness

3/5

Non-discrimination and equitable treatment

Some suggestions of these principles include decoloniality, humanity, technical robustness and safety, inclusion, diversity, non-discrimination, accountability, solidarity, transparency

Pillar 4: Ensuring Responsible and Ethical AI Development

screening score · 2026-10-23

Human Dignity

3/5

Respect for the inherent worth of persons

Prioritising the well-being and values of all stakeholders in the design and implementation of AI technologies, ensuring that they enhance human capabilities, autonomy, and dignity

Vision and Guiding Principles

screening score · 2026-10-23

Human Oversight

3/5

Humans remain in control of consequential decisions

robust testing and validation, ongoing monitoring and maintenance, human oversight and intervention, ethical considerations and compliance

Risk Mitigation Strategies

screening score · 2026-10-23

Privacy

3/5

Protection of personal data and private life

Adhering to good data management principles in the collection, use, and sharing of data for AI applications, including respect for privacy, consent, data minimisation

Vision and Guiding Principles

screening score · 2026-10-23

Transparency

3/5

Openness about how AI systems work and are used

Comprehensive National AI Principles that are publicly available, transparent, and inform all AI development and use aspects.

Strategic Pillars

screening score · 2026-10-23

Enforcement

2/5

Consequences and compliance mechanisms with real force

A well-functioning and respected AI Governance Regulatory Body provides clear guidance, enforces ethical standards, and promotes responsible AI development.

Strategic Pillars

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Comprehensive risk management framework that minimises the potential negative impacts of AI deployment.

Strategic Pillars

screening score · 2026-10-23

Topics

Physical AI Governancecore

artificial_intelligence national_strategy ethical_ai infrastructure governance