AI SUMMIT NIGERIA

From Policy to Progress: Accelerating Responsible AI Adoption for Nigeria's Digital Decade

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Date2026-06-16
LocationTranscorp Hilton, Abuja | Hybrid
Time9:00 am
CategoryArtificial Intelligence
AI SUMMIT NIGERIA

Convened by: NINA JOJER Africa
Brought to you by: Microsoft
In Partnership with: NITDA and MTN Nigeria

About the Summit

Nigeria has done the hard work of building a world-class policy foundation. With the National Artificial Intelligence Strategy (NAIS), the open-source N-ATLAS multilingual model, and the National Digital Economy and E-Governance Bill 2025, the country ranks among the top 60 globally for AI readiness.

The task now is execution. Across ministries, departments, and agencies (MDAs), the challenge lies in the practical mechanics of deploying AI within real-world institutional constraints.

The AI Summit Nigeria is a structured, high-level forum designed to guide decision-makers through the specific regulatory, infrastructural, and accountability choices required to move from AI policy to impactful, public-sector deployment.

Core Themes

  • Making the Rules Work: Regulatory Clarity for Government AI
    How MDAs move from policy intent to deployment-ready governance using the 2025 E-Governance Bill as an organising framework.
  • What Does Digital Sovereignty Actually Mean for Nigeria?
    An honest look at data infrastructure, compute capacity, and control within the realities of the West African landscape.
  • From Pilots to Practice: AI in Government Services
    Anchoring the conversation in validated use cases—from revenue collection to citizen identity services—and building pathways from pilot to production.

Expected Outputs

  • Policy Communiqué: A reference document submitted to the National AI Steering Committee outlining Nigeria's AI priorities for public sector adoption in 2026–2027.
  • Government AI Deployment Framework: A practical guide for MDAs covering data governance, best practices, and accountability standards.
  • Identified AI Pilots for MDA Adoption: A defined set of AI use cases matched to willing MDAs and supported by private sector technology partners.
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