Togo has asked its citizens to contribute texts, recordings and translations to help “develop artificial intelligence models that address the linguistic diversity of the country,” said Semafor. More than just a “regional experiment,” it’s a “blueprint for how developing nations can use technology to assert their cultural sovereignty and economic relevance in the digital age.”
Africa has about 2,000 different languages, and very few are represented comprehensively in AI models, African computer science and linguist experts said at The Conversation. Failing to be a part of the tech revolution not only “marginalizes millions of people” but also “increases the technology divide.”
AI’s inability to handle most African languages reflects the “gap between the number of real-world speakers and a language’s digital footprint,” said African Business. Across 20 language models, only 41 African languages are represented, according to findings published in the Proceedings of Machine Learning Research. Meanwhile, “over 98% of African languages” are “unsupported,” and just four — Amharic, Swahili, Afrikaans and Malagasy — are “always handled.”
The lack of African languages in AI models has become a “major concern for the continent’s policymakers and tech leaders,” said Semafor. Africa has only 0.6% of global data center capacity despite accounting for 18% of the world’s population, according to World Bank estimates.
Building AI models from scratch is “expensive” and consumes “limited resources,” said Semafor. But Togo’s initiative suggests that the future of AI in Africa “may hinge less on who builds the biggest model than on who makes the technology useful to the most people.”
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