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Nigeria's INEC Chairman Outlines Framework for Responsible AI in Elections

By Geopolitics Desk · 2026-09-10 · 2 min read
A stylized biometric fingerprint scanner device resting on a simple desk surface.
Illustration: Tradingbird

Nigeria's electoral commission argues that institutional readiness and human oversight are more critical than the technology itself in deploying artificial intelligence for democratic processes.

Prof. Joash Ojo Amupitan, the Chairman of the Independent National Electoral Commission (INEC), has argued that the successful integration of artificial intelligence into electoral administration relies heavily on robust governance structures rather than the sophistication of the algorithms themselves. Speaking at the Global Conference on Responsible AI and Elections in Ottawa, Canada, on September 10, 2026, Amupitan emphasized that technology must serve to strengthen institutional integrity rather than replace human accountability.

According to the INEC chairman, Nigeria’s electoral scale makes technological support essential, with over 93 million registered voters and nearly 180,000 polling units. However, he cautioned that AI adoption should be driven by demonstrable improvements in public service and confidence, not by a desire to deploy technology for its own sake. The statement was made alongside the Director of Information and Communication Technology, Dr. Lawrence Bayode, who accompanied the chairman to the international forum.

Institutional Readiness Over Technical Sophistication

Amupitan stated that responsible AI begins with institutional preparation, not merely the acquisition of advanced tools. The commission has established a dedicated Artificial Intelligence Division within its ICT department and is developing a phased AI Roadmap and a Governance Framework currently undergoing internal approval. This approach involves a multidisciplinary strategy that includes legal, operational, and risk management departments, ensuring that AI literacy and technical capacity building are integrated across the organization.

The chairman highlighted that the legal framework underpinning these changes includes the Constitution, the Electoral Act 2026, and the Nigeria Data Protection Act 2023. He noted that specific provisions regarding electronic voting devices and biometric accreditation are central to maintaining the integrity of the process. By treating AI as a governance issue rather than a purely technical one, INEC aims to address the growing influence of data architectures on democratic outcomes.

Balancing Automation With Human Oversight

Nigeria has already deployed several technological innovations, including the Bimodal Voter Accreditation System and the Automated Biometrics Identification System, to reduce manual interference. According to Amupitan, these tools were adopted to enhance credibility and efficiency, but the next phase of AI integration must remain under strict human control. He identified five guiding principles for these initiatives: human oversight, transparency, data protection, cybersecurity, and operational value.

One specific initiative mentioned was an intelligent results management process designed to assist in identifying discrepancies in election records. Amupitan stressed that while AI can aid election officials, it will not replace human responsibility for decision-making. The goal is to ensure that technology serves as a tool for integrity, improving public trust without undermining the fundamental role of human judgment in the electoral process.

Monitoring the Path Forward

The discussion highlights a broader trend where election management bodies are navigating the complex relationship between digital innovation and democratic safeguards. As reported by GN auto geopolitics/africa: Nigeria elections, the emphasis on governance over technology suggests a cautious approach to one of the most sensitive applications of AI. The coming months will likely see closer scrutiny of how these frameworks are implemented in practice, particularly regarding data privacy and the transparency of algorithmic decision-making in high-stakes political environments.

Based on reporting by GN auto geopolitics/africa: Nigeria elections, compiled by the Tradingbird desk.

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