All of this connects to something bigger I think about a lot.
The technical divide between the African continent and the
rest of the world is widening fast, especially in AI and
language technology. But it isn't about talent. Africa has
brilliant people, researchers, and builders. Even the
infrastructure is there, or catching up. What's missing is
something deeper.
Most of the AI being deployed today is trained on Western
data. It speaks Western languages, understands Western lives,
reflects Western assumptions about how the world works. When
an African student opens ChatGPT or pulls down a model from
HuggingFace, the tool will serve them, technically. But it
doesn't know them. It can't recognise the contexts they live
in, the languages they speak with their families, the
socioeconomic realities they're navigating, the way daily
life actually looks.
As these systems become more embedded in education, work,
healthcare, in the texture of what's possible to build, the
question of who AI is for matters more and more. And right
now, AI is largely not for Africa. It can be used by
Africans. It doesn't represent or understand them.
That's the gap I want to help close. Not by deciding from
the outside what Africa needs, but by working on tools and
research that include African data, languages, and contexts
from the ground up. Generative AI is one of the most
powerful resources of our time, and every person should be
able to use it and understand it!
Closer to home, I'm also looking at ways to improve life for
people back home in South Africa through initiatives focused
on the youth. More on that as those projects take shape; a
few live on the projects page.