African businesses are building on AI systems they do not control

When firms rely on external AI systems, they often lack visibility into how models are trained and updated, how data is processed and retained and more consequentially, how decisions are generated at scale.

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In recent conversations with investors, business and policy leaders, it is clear how deeply artificial intelligence (“AI”) is already embedded in operations: from credit scoring and customer analytics to logistics and procurement systems.

But there is a structural problem few decision-makers are confronting: the systems powering this shift are not locally controlled.

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Note: The results are not exact but very close to the actual.