"We think in our own languages, dream in them and interpret the world through them. If technology doesn't reflect that, a whole group risks being left behind,"
"We're going through this AI revolution, imagining all that can be done with it. Now imagine there's a part of the population that just doesn't have that access because all the information is in English."
Africa contains a large share of the world’s languages, yet many are missing from AI development due to limited written data and low investment. Most contemporary AI models are trained on English, European, and Chinese languages because of abundant online text. Many African languages are primarily oral, resulting in scarce training corpora and reduced AI utility for speakers. The African Next Voices project produced AI-ready datasets in 18 African languages, recording 9,000 hours of speech across Kenya, Nigeria and South Africa and capturing everyday scenarios in farming, health and education. The effort targets expansion beyond these initial languages.
Read at www.bbc.com
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