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World Bank Advocates for "Small AI" to Drive Development in Emerging Economies
Key points
- World Bank advocates "small AI" for developing countries.
- Small AI models run on mobile phones with low connectivity.
- Models are trained on narrower datasets for specific purposes.
- Aims to accelerate economic development in decades, not centuries.
World Bank's Push for Small AI
The World Bank is encouraging developing countries to create "small AI" models. These models are designed to function on mobile phones, even with low connectivity, and are tailored to local languages and specific needs. Paschal Donohoe, the World Bank’s chief knowledge officer, stated that this approach could significantly accelerate economic development in emerging economies.
Localized AI for Development
Unlike the sophisticated consumer products developed by large tech firms, small AI uses specialized models trained on narrower datasets for particular purposes. Donohoe cited the AgriConnect scheme in India, where farmers need soil analysis in their local language, as an example where small AI on mobile phones could provide necessary information without requiring a large number of agricultural experts.
Accelerating Economic Growth
Donohoe believes that economic development that might have taken centuries could now be achieved within decades through the adoption of small AI. He suggested that collaboration between the World Bank, governments, and the private sector would be crucial for the emergence of such products.
Preconditions for AI Success
The impact of AI on jobs and growth is a key topic at the annual meetings of the World Bank and the International Monetary Fund (IMF). Kristalina Georgieva, the IMF’s managing director, emphasized that governments must provide essential preconditions for AI adoption, including access to electricity, digital infrastructure, and protection against malicious actors, to ensure equitable access to the technology.
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Reporting from
The World Bank is promoting the development of "small AI" models for developing countries, which can operate on mobile phones with limited connectivity and localized data. This initiative aims to accelerate economic development by adapting AI to local needs, such as providing agricultural advice to farmers in their native languages.