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This essay explores the 'conversion trap' where AI delivers intelligence but fails to produce outcomes due to weak infrastructure and delivery systems, using COVID vaccine distribution as an example.
UC Berkeley professor Joshua Blumenstock uses machine learning and AI on household surveys to optimize targeting of antipoverty programs and estimate the cost to end extreme global poverty.
Yann LeCun argues at the UN Open Source Week that open-source AI is essential for global AI sovereignty, as proprietary AI is too expensive and centralized for most countries and companies.
Google DeepMind's latest research explores how AI can support educators in Sierra Leone, where a growing student population outstrips available teachers, aiming to amplify teachers' reach without replacing their expertise.