Debugging South Africa's AI Faceplant

I’ve stayed up until 3 AM debugging a memory leak in a Node.js app, feeling like the world is ending. But that’s nothing compared to the second-hand embarrassment I’m feeling for South Africa’s Department of Communications right now.

Imagine you’re a founder pitching a VC, and they find out your "proprietary algorithm" is just a bunch of fake functions you copied from a hallucinating LLM. That’s essentially what happened with South Africa’s draft AI policy. They published a framework to regulate AI risk, only for critics to realize that the policy itself was filled with fabricated citations.

The "Copy-Paste" Governance Error

As a dev, I get the temptation. You’re staring at a blank VS Code window—or in their case, a blank Word doc—and you want a head start. But there’s a massive difference between using AI to boilerplate a React component and using it to generate legal citations for a national policy.

The policy included references to academic journals that don't exist and articles that were never written. It’s the ultimate "hallucination" bug. For a regulator to ship this is like a senior dev merging a PR that hasn't even been compiled. It’s sloppy, and it tells me the people in the room didn't actually read the "code" they were shipping.

Why This Matters in Gbagada or Akure

You might think, "Stanley, that’s South Africa’s problem, why are you stressed?"

Because this sets a terrible precedent for the rest of us. In Nigeria, the Central Bank is already pushing banks to bake AI into their anti-money laundering systems. If our regulators decide to "shortcut" their way through policy drafting using the same unverified AI tools, we’re going to end up with laws that don't make sense for the local context.

I think about the guys building fintech apps in a workstation in Gbagada or the tech talent emerging from Akure. We’re out here trying to "no gree for anybody," building systems that have to handle the chaos of the Nigerian market. We need regulators who actually understand the stack, not ones who are just prompt-engineering their way through a Tuesday afternoon.

Documentation is a Feature, Not a Chore

In my experience building products, documentation is usually the first thing that suffers when you're rushing to launch. But when that documentation is literally the law, the "move fast and break things" mantra is a disaster.

South Africa’s Minister, Solly Malatsi, did the right thing by withdrawing the draft, but the damage is done. It makes the whole "Africa is ready for AI" narrative look a bit shaky. We can't be calling for ethical AI use while our own governments are using it to fake their homework.

Keep Your Human-in-the-Loop

If you're building anything right now that uses an LLM—whether it's a customer support bot for a shop in Onitsha or a complex data scraper—take this as a cautionary tale. Verification isn't optional.

The moment you stop checking the output is the moment you stop being a developer and start being a liability. I’m back to my own terminal now, double-checking my imports and making sure my logic actually holds up. Let’s leave the hallucinations to the poets and keep the tech (and the policy) grounded in reality.