World Bank urges developing countries to build small AI for local languages
Overview
The World Bank is urging developing countries to build "small AI" models, specialised systems trained on narrower datasets that can run on a mobile phone with low connectivity, in local languages.
Chief knowledge officer Paschal Donohoe says AI could speed development in emerging economies if it is adapted to local needs. He cites Indian farmers in the AgriConnect scheme, who need soil analysis in their own language.
The Guardian reports the recommendation as a call to action from the World Bank, not a new program or funding commitment. The report does not give figures on costs, adoption, or results.
Written by AI from the articles below · updated Oct 18, 7:01 AM ET
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- The Guardian · AINewsWorld Bank urges developing countries to build "small AI" for local languages and low connectivity
AIThe World Bank is urging developing countries to build "small AI" models, specialised systems trained on narrower datasets that can run on a mobile phone with low connectivity in local languages. Chief knowledge officer Paschal Donohoe says AI could speed development in emerging economies if adapted to local needs. He cites Indian farmers in the AgriConnect scheme who need soil analysis in their own language.
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