There is a familiar paradox at the heart of modern governance: when foundational institutions founder, they rarely promise simple competence. Instead, they promise technology.
Consider Nigeria’s Independent National Electoral Commission (INEC). Following a general election cycle marked by administrative breakdowns, late-opening polling units, and severe technical failures that shattered public trust, the agency has set its sights on a new panacea: Artificial Intelligence. Commission officials have established a dedicated AI division within its ICT apparatus, aiming to audit voter logs, detect result anomalies, and automate verification across the country’s vast voting landscape.
It is a classic example of what tech theorists call solutionism – the misguided belief that an advanced algorithm can fix deep-seated institutional and human failures. The impulse is understandable in a nation desperate for electoral fairness, but the strategy is fundamentally flawed. Algorithms cannot substitute for institutional integrity, and high-tech software cannot compensate for basic operational incompetence.
The agency’s track record demands extreme caution. Ahead of the 2023 elections, Nigerians were repeatedly assured that technology – specifically the Bimodal Voter Accreditation System (BVAS) and the INEC Result Viewing Portal (IReV) – would act as an impenetrable shield against fraud. Billions of naira were poured into hardware, cloud infrastructure, and training. Yet on Election Day, critical components of the system faltered at pivotal moments, leaving citizens disillusioned and questioning the integrity of the outcome.
If an electoral body struggles to execute straightforward, database-driven file uploads under pressure, how can it reasonably claim readiness to deploy complex Artificial Intelligence? AI is not an impartial magic wand; it is an advanced multiplier that inherently relies on strict integrity, flawless data inputs, and high technological maturity. Even mature democracies with vastly superior digital infrastructure – from Western Europe to North America exercise extreme restraint, refusing to plug AI models directly into core tallying and auditing frameworks due to well-founded worries over algorithmic bias, black-box opacity, and security risks.
To build an election system that commands public trust, Nigeria does not need to pioneer untested digital experiments. It needs only to look at its peers on the continent. Nations like Ghana, Kenya, and South Africa have built relatively durable democratic processes not through bleeding-edge software, but through strict operational discipline, clear logistical execution, and absolute administrative transparency. When technology is deployed in those countries, it is kept simple, verifiable, and open to human inspection – minimizing suspicion rather than layering on unneeded opacity. They understand a fundamental truth: in a low-trust environment, complexity is the enemy of credibility.
Technology should illuminate the democratic process, not obscure it behind an algorithmic veil. Upgrading basic server capacity, securing digital logs, and ensuring poll workers arrive on time are necessary, unglamorous duties. Creating an entire AI apparatus risks adding fresh failure points to a system that needs fewer moving parts, not more.
What Nigerian voters require from INEC is not algorithmic sophistication; it is basic competence, punctual logistics, and uncompromising integrity. It is time for the commission to step back from the high-tech illusion, drop the AI gimmicks, and focus squarely on delivering what matters most: an election where every vote is simply, transparently, and clearly counted.