LAGOS — Nigeria is moving to end its reliance on “imported” Artificial Intelligence, warning that off-the-shelf models trained on foreign data risk misclassifying African users and undermining national sovereignty. At the Innovate AI 2026 conference in Lagos, a powerful coalition of policymakers, fintech leaders, and academics declared that the era of passive adoption is over.
The central theme of the summit was clear: If Nigeria does not build its own AI architectures, it risks a new form of “digital colonization” where critical decisions—from credit scoring to news dissemination—are governed by biased, non-representative algorithms.
The Inclusion Crisis: Why Foreign Data Fails
Fintech leaders, including executives from Kuda, warned that AI models developed in the West often fail to account for the “informal” nature of the Nigerian economy.
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Credit Scoring: Algorithms trained on non-African datasets may exclude viable borrowers because they don’t recognize the income volatility and informal employment patterns common in Nigeria.
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Societal Impact: Natalia Lyarskaya of Kuda emphasized that AI decisions have “lasting human consequences” and that inclusion must be intentionally coded into the system, not assumed.
NITDA Unveils National AI Strategy
Kashifu Abdullahi Inuwa, Director-General of the National Information Technology Development Agency (NITDA), confirmed that regulatory guardrails are being finalized. The National AI Strategy is built on five core pillars:
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Fairness & Transparency: Ensuring algorithms can be audited and explained.
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Accountability: Establishing who is responsible when an AI system fails or discriminates.
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Privacy by Design: Embedding Nigerian data protection standards into the code itself.
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Sovereignty: Requiring that models used in critical sectors (finance, security, health) are subject to domestic oversight.
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Infrastructure: Building the local computing power and data centers needed to host these models.
AI in the Grassroots: 25,000 Learners Monthly
The AI Foundation Nigeria is already laying the educational foundation. President Ehia Erhabon revealed that the foundation now operates community hubs in 19 states, engaging over 25,000 learners every month. This initiative aims to produce a workforce that views AI as a “socio-technical system” requiring cultural awareness, rather than just a technical tool.
Guarding the Truth: AI in Media
From the media front, Victoria Ajayi, CEO of TVC Communications, showcased how AI is already being used to bridge the linguistic divide.
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Indigenous Languages: TVC uses AI to translate and deliver news in local Nigerian languages.
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Copyright & Trust: To prevent the spread of deepfakes, the organization has implemented strict watermarking and copyright protections, ensuring that “sovereign information” remains trustworthy.
AI Governance Scorecard (2026 Goals)
| Pillar | Current Status | 2026 Objective |
| Data Localization | Largely hosted abroad. | 50% of critical sector data hosted in-country. |
| Talent Pool | 25,000+ monthly learners. | 1 Million AI-certified professionals by 2027. |
| Regulatory Framework | Strategy phase. | Full implementation of AI Accountability Act. |
| Industry Adoption | High (Fintech/Media). | Expansion into Agriculture and Healthcare. |
