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What actually changes when AI meets institutions, infrastructure, and the people inside them?
Oliver Hanney and Deena Mousa recap the Ideas in Development series on AI, drawing on conversations with Raghuram Rajan, Umar Saif, Rose Mutiso, Josh Lerner, Anton Korinek, Bruno Caprettini, Niriksha Shetty, Claire Cullen and Utkarsh Saxena.
They cover the key takeaways: why the binding constraint question matters more than the model question; what the data desert problem means for national AI strategies; why access and value capture are not the same thing; and what AI is doing to the growth escalators lower-income countries depend on. And conclude with the most important questions this series did not resolve.
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Ideas in Development에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
