When people talk about AI in education, they usually mean AI in classrooms: devices, chatbots, adaptive platforms. The conversation quickly stalls because many schools in low- and middle-income countries lack the infrastructure. So, AI becomes something for well-resourced systems, and everyone else waits.
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From open data to AI-ready data: Building the foundations for responsible AI in development
The production and use of development data have undergone significant transformation over the past two decades. The shift from paper-based records to digital formats has made data more accessible and easier to share. The open data movement has dramatically increased the availability of government and institutional datasets, which in turn catalyzed greater opportunities for analysis, transparency, and innovation. And major advances in big data and data science have further expanded both the volume and diversity of information guiding development policy.
Amid rapid advances in artificial intelligence (AI), development data has now reached another pivotal juncture: the evolution to AI-ready development data—data that is readily discoverable, comprehensible, accessible, and usable by both humans and AI applications.
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Netherlands for the World Bank 
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