The AI Safety Conversation Is Missing 1.4 Billion People

# The AI Safety Conversation Is Missing 1.4 Billion People
By ANTHONIO OLADIMEJI
Published: 2026-03-02
*Cross-posted from my personal notes. I'm sharing this because I think the EA/AI safety community needs to hear it, and because I've been living it.*

I lead AI safety work in Nigeria. When I tell people this, the most common reaction is a polite pause , the kind that says: *that's interesting, but is that really AI safety?*

I want to argue that it is. And that the gap it represents is one of the most neglected problems in the entire AI safety ecosystem.

The Situation on the Ground
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I'm based in Ibadan, Nigeria. I am part of the AI Safety Fundamentals: AI Governance cohort for Nigeria under AI Safety Nigeria, and I hold an AI Lead appointment under the ITU — the UN's agency for ICT. In my day-to-day work, I deploy AI systems in low-resource healthcare settings, build multilingual NLP tools for communities that global AI largely ignores, and try to translate AI safety discourse into something meaningful for African researchers and policymakers.

Here's what I observe from that vantage point:

The global AI safety community is, with very few exceptions, a Western conversation. Its canonical texts were written in Oxford and Berkeley. Its conferences happen in San Francisco and London. Its implicit assumptions,  about who builds AI, who governs it, who is harmed or helped by it,  are shaped almost entirely by high-income, high-resource contexts.

Meanwhile, **Africa has 1.4 billion people**, the world's youngest and fastest-growing population, and some of the most acute governance vacuums on the planet. Frontier AI is not arriving *after* Africa figures out its institutions. It is arriving *now*, into contexts with limited regulatory capacity, under-resourced civil society, and almost no AI safety literacy among the researchers, policymakers, and civil servants who will have to manage its consequences.

This is not a small gap. **It is a civilisational-scale oversight.**

Why This Is an AI Safety Problem, Not Just an "AI for Good" Problem
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I want to be precise here, because I think the distinction matters.

A lot of Global South AI work is about deploying AI to solve local problems , better crop yields, faster disease diagnosis, smarter financial inclusion. That work is valuable. But it is not what I'm describing.

What I'm describing is this: the safety and alignment of advanced AI systems will be shaped, in part, by the governance frameworks, regulatory norms, and institutional capacity that exist when those systems arrive. If Africa ,  a continent with 54 countries, significant geopolitical weight, and rapidly growing AI adoption, has no seat at that table, the frameworks we build will be incomplete. Worse, they may actively fail African populations in ways that go unnoticed because African researchers aren't in the room to flag them.

A few concrete

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