National Artificial Intelligence Strategy
Nigeria's National Artificial Intelligence Strategy outlines a comprehensive framework to position the country as a global leader in responsible, ethical, and inclusive AI innovation. The document sets out strategic pillars covering infrastructure, ecosystem building, sector adoption, ethical development, and governance. It provides a roadmap for leveraging AI to drive economic growth, social development, and technological advancement while addressing local challenges such as infrastructure limitations and workforce skills.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, industry leaders, researchers, and developers seeking guidance on Nigeria's national AI priorities and regulatory direction.
What the document contains
The strategy addresses national AI infrastructure development, compute capacity, talent development, sector-specific AI adoption roadmaps, data governance standards, ethical principles, and risk management frameworks. It details ecosystem mapping, SWOT analysis, global benchmarks, and an implementation plan across five main strategic pillars.
The document is a draft version and lacks final legislative enactment details, specific judicial rulings, or binding enforcement mechanisms for private sector compliance beyond proposed regulatory guidelines.
- Nigeria aims to become a global leader in responsible, ethical, and inclusive AI innovation.
- The strategy is built on five core pillars: foundational infrastructure, ecosystem development, sector adoption, ethical development, and governance.
- The plan addresses critical domestic challenges including limited computing infrastructure, digital skills gaps, and data quality issues.
- International collaboration and multi-stakeholder participation are central to implementing the national AI roadmap.
- A comprehensive risk management framework is integrated to mitigate economic, ethical, and societal risks associated with AI deployment.
· Acknowledgements · Contents · Executive Summary · Acronyms · Introduction · Vision & Guiding Principles · Strategic Objectives · Strategic Pillars · Implementation Plan · Risks & Mitigation Strategies · Conclusion · Appendices
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
This entails providing clear and understandable information about how AI systems work, their intended purposes, and potential limitations or biases, as well as holding individuals, organisations, and institutions accountable for AI technologies' ethical and responsible use.
Vision and Guiding Principles
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
Some suggestions of these principles include decoloniality, humanity, technical robustness and safety, inclusion, diversity, non-discrimination, accountability, solidarity, transparency, and responsible data governance.
1.4.5.1. Objective 4.2
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
ensuring that they enhance human capabilities, autonomy, and dignity rather than replacing or undermining human agency.
Vision and Guiding Principles
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
While the 2023 Data Protection Act does not particularly address AI-related data concepts, it does outline crucial issues like data security and cross-border data transfer – both essential pillars for developing AI models
1.3.1. Introduction
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
This entails providing clear and understandable information about how AI systems work, their intended purposes, and potential limitations or biases
Vision and Guiding Principles
screening score · 2026-10-23
Enforcement
4/5Consequences and compliance mechanisms with real force
This independent body will oversee the implementation of the National AI Principles, ensure compliance with ethical standards, and mediate potential disputes.
1.4.6.1. Objective 5.2
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
This AI ethics assessment framework will provide a structured approach for evaluating the ethical implications of AI projects before deployment.
1.4.5.1. Objective 4.3
screening score · 2026-10-23