This is what Most AI Systems See
Bias exists in the world of AI. And there is nothing you can do to stop it than supplying balanced data. In a room of 30 people, if there are 28 whites, AI will think that humans are generally white. If the AI has been engineered to learn on the fly, that outcome will remain.
I used Samsung Galaxy S9 last week to create AR emoji. Largely, they did not consider Africans when they created that feature. You may blame Samsung. That will miss the point. The point is that Africa needs to invest in the development in the harvesting and storage of data, from farming to banking. If not, AI systems will continue to work just fine in London, New York and Toronto but also messing up in Lagos, Nairobi and Accra.
This UK's report makes it clear that we need a roadmap on this AI bias in the world.
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The need for diverse development teams and truly representational data-sets to avoid biases being baked into AI algorithms is one of the core recommendations in a lengthy Lords committee report looking into the economic, ethical and social implications of artificial intelligence, and published today by the upper House of the UK parliament.