Stanford Graduate School of BusinessAI Offers Options Where Today There Are None: Anja Sautmann, World Bank Group
Stanford Graduate School of Business
Back end matters most 0:02
The main split is between front end and back end. Front end reaches many users and brings access barriers. Back end is central work, like tax agencies or environmental offices using AI on their own data. Weather forecasting fits here too, because better rain forecasts can help farmers make better decisions.
Check and evaluate 2:01
Governments should put monitoring and evaluation first. AI tools need vetting before rollout and checking after it. You also need to know whether people use them correctly, or at all, and who is helped by them. That means funding follow-up, not just building the product.
Data and real need 7:30
Better data is another priority. In many poor areas there is little systematic health data at all, so governments should collect high-quality data for the problems AI might best address. That matters more where digital records do not already exist as a byproduct of normal administration.
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