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Africa

Africa: Artificial intelligence Expert Warns of ‘Digital Colonization’ in Africa

todayJanuary 4, 2024 1

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Artificial intelligence (AI) is ripe to help resolve certain major problems in Africa, from farming to the health sector, but Senegalese expert Seydina Moussa Ndiaye is warning of a new “colonization” of the continent by this new technology if foreign companies continue to feed on African data without involving local actors.

One of 38 people members of the new UN advisory body on machine learning, Mr. Ndiaye spoke with UN News about the landscape ahead, building on his experience in helping to drive Senegal’s digital transformation in higher education, serving as an expert to the African Union in drafting the Pan-African Strategy on AI and in contributing to the Global Partnership on Artificial Intelligence (GPAI).

How could AI help Africa?

There are several African countries that are beginning to have a dedicated strategy for artificial intelligence. However, there is a pan-African strategy that will soon be published, with a continental vision of AI development.

More and more, young people launching startups are interested in this, and they have a real thirst for knowledge in the field of AI. This growing interest can be accelerated with international help.

However, there is a wall in some areas, and AI can in fact be used to solve certain problems, including in agriculture. In the health sector, AI could in fact solve a lot of problems, especially the problem of a lack of personnel.

The other element that is also very important is the development of cultural identity. Africa has been seen as a continent with a cultural identity that has not been able to impose itself across the world. With the development of AI, we could use this channel so that African cultural identities are better known and better valued.

Are there bad sides of AI threatening Africa?

The biggest threat for me is colonization. We may end up with large multinationals in AI that will impose their solutions throughout the continent, leaving no room for creating local solutions.

Most of the data currently generated in Africa is owned by multinationals whose infrastructure is developed outside the continent, where most African AI experts also operate. It’s a loss of African talent.

The other important element to consider is in the context of the fourth industrial revolution. The power of AI combined with advances in biotechnology or technology could be used, and Africa could be the place where all these new solutions are actually being tested.

If it’s not supervised, we could end up with tests that would take place on humans with chips or even integrated biotechnology elements that we improve. These are technologies that we don’t really master well. In regulatory terms, there are certain aspects that have not been considered. The very framework for the application of ideas and existing regulations is not effective.