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Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria

This qualitative case study of Nigeria reveals that legal professionals perceive significant ethical risks and regulatory gaps in AI governance, advocating for context-specific, locally adapted frameworks over direct adoption of foreign models to ensure effective oversight and accountability.

Original authors: Uloma Okoro, Tammy Mckenzie, Branislav Radeljic

Published 2026-04-08
📖 4 min read☕ Coffee break read

Original authors: Uloma Okoro, Tammy Mckenzie, Branislav Radeljic

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine you just bought a brand-new, super-fast sports car (that's Artificial Intelligence or AI). It can drive itself, predict traffic, and even order your groceries. But here's the problem: you live in a neighborhood where the roads are full of potholes, the traffic lights are broken, and there are no police officers to write tickets if someone speeds.

This is exactly the situation Nigeria (and many other developing countries) finds itself in with AI.

This paper is like a group of mechanics and traffic lawyers (the legal professionals interviewed) sitting down to discuss: "Is it safe to let this car drive itself on our roads right now? What happens if it crashes? And who is going to fix it?"

Here is the breakdown of their conversation in simple terms:

1. The Big Worry: "The Car Has No Driver's License"

The lawyers are worried that AI is being used in banks, hospitals, and courts without any clear rules.

  • The Analogy: Imagine a robot judge deciding who goes to jail. If the robot was trained on data from a different country, it might think a local custom is a crime. Or, if it's a bank robot deciding who gets a loan, it might unfairly reject poor people because it doesn't understand their local way of saving money.
  • The Fear: Without rules, AI could accidentally hurt people, steal their secrets, or make unfair decisions, and nobody would know who to blame.

2. The "Copy-Paste" Problem

The study found that Nigeria is trying to use rules made in Europe or the US (like the GDPR).

  • The Analogy: It's like trying to wear a heavy winter coat in the middle of a hot Nigerian summer. The coat (foreign laws) is high-quality, but it doesn't fit the climate. It's too heavy, too expensive, and just doesn't work for the local weather.
  • The Solution: The lawyers say we need to sew our own clothes. We need "Glocalization." This means taking the good ideas from the world but tailoring them to fit Nigeria's specific streets, culture, and problems.

3. The "Blindfolded" Regulators

A major theme is that the people supposed to police AI (the government and judges) often don't understand how it works.

  • The Analogy: It's like asking a person who has never seen a computer to regulate the internet. They can't write a rule against "hacking" if they don't know what a computer is.
  • The Result: Because they don't understand the tech, they can't write good laws, and they can't catch the bad guys when things go wrong. The lawyers said, "You can't regulate what you don't understand."

4. The "Rich vs. Poor" Gap

There is a fear that AI will make the rich richer and leave the poor behind.

  • The Analogy: Imagine a library where only people with fancy smartphones can read the books. If AI becomes the new library, the people in the villages without internet or computers will be left in the dark, while the city elites get smarter and richer.
  • The Risk: If we aren't careful, AI could turn into a tool that pushes the poor out of the economy, making them feel like "dinosaurs" in a world of robots.

5. The Trust Issue

The most important thing the lawyers said is that trust is missing.

  • The Analogy: You wouldn't let a stranger drive your car if you didn't know their name, if they didn't have a license, and if they promised to drive safely but had no seatbelt.
  • The Reality: People in Nigeria don't trust the AI systems yet because there are no seatbelts (laws), no license checks (oversight), and no one to hold the driver accountable if they crash.

What Do They Want? (The Recipe for Success)

The lawyers aren't saying "Stop AI!" They are saying, "Slow down and build a better road first." They suggest:

  1. Local Rules: Create laws that actually fit Nigeria, not just copy-paste them from Europe.
  2. Education: Teach the judges, lawyers, and the public how AI works so they aren't scared or confused.
  3. Human Supervision: Make sure a human is always in the driver's seat, ready to take over if the robot gets confused.
  4. Safety Nets: Strong data protection so your personal secrets don't get stolen by hackers.

The Bottom Line

AI is a powerful engine that can help Nigeria grow, but right now, the car is being driven without a map, without a license, and on broken roads. The legal professionals are asking the government to build the road, write the traffic laws, and teach everyone how to drive before they let the car go full speed.

If they do this, AI can be a hero. If they don't, it could become a disaster.

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