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More than a thousand participants from 95 countries have gathered in Kigali for a summit dedicated to AI in Africa
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One key theme is emerging from today's discussions, closing the digital gap as tech giants dominate the virtual world and ensuring that new technologies adapt to the continent's specific realities
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The stakes are high, avoiding reliance on foreign technology and developing AI that is free from stereotypical or even racist biases
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The first challenge, data. AI gets better the more data it has
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But in Africa, that data is lacking. A striking example is healthcare
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Many conventional AI models are not trained to detect diseases that are common here, such as malaria
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When we speak about data, data is really the oxygen of AI
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If you don't have data, you can't build AI solutions. And so I think for Africa, this is really one of the key priorities for the continent
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because despite being around 17% of the global population, African data sets represent about 1% of the total data sets available
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Despite Africa's resources and ambitions, major challenges remain to create an environment that truly supports AI development here on the continent
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especially when it comes to infrastructure and legislation
