From AI Policy to Responsible Deployment: Nigeria's AI Governance Implementation Gap

Artificial intelligence already influences important decisions in Nigerian finance, healthcare, education, public administration and agriculture. At the same time, the country has firmer policy foundations than earlier debates often assumed, including the National Artificial Intelligence Strategy, the Nigeria Data Protection Act 2023 and the Nigeria Data Protection Commission's General Application and Implementation Directive 2025. The harder question is implementation, namely whether these commitments can become workable systems inside firms, public institutions and sector regulators. This paper treats Nigeria's AI governance gap as an implementation problem. It examines how legal commitments, sector regulation, organisational practice, technical assurance and user-facing accountability connect once AI and related automated systems move from policy documents into real deployment. The analysis draws on legal and policy documents, documented examples of deployed systems across five sectors, and my own experience as a Nigerian user of digital services, while a companion project, the Nigeria and Africa AI Governance Tracker, presents the same policy environment in plain language so that it can be inspected and compared. Responsible deployment needs risk classification, organisational readiness, accountable ownership, technical assurance, human oversight, incident learning and a usable route for citizens to challenge harmful outcomes. Drawing on the European Union, Singapore, Rwanda and UNESCO's global ethics guidance, the paper proposes the Nigeria Responsible AI Deployment Framework (NRDF), a three-layer architecture linking national coordination, sector regulation and citizen-facing accountability. Ultimately, rules scattered across policy, privacy law and sector mandates only become governance once they can be applied, tested and improved where AI systems are actually deployed.