GiveDirectly的动态

Nature Magazine: "Conventional poverty-relief projects rely on data gathered through in-person surveys — which were?not possible during the pandemic. But Togo’s effort, dubbed Novissi, which means ‘solidarity’ in the local éwé language, incorporated AI to determine who should receive aid. The project, led by Cina Lawson, the Togo Minister of Digital Economy and Transformation, along with scientists from the University of California, Berkeley, and the non-governmental organization (NGO) GiveDirectly, analysed satellite images and?data from mobile-phone networks?to estimate the wealth of particular regions and individuals. “We needed a surgical approach,” says Lawson. It was an important moment for the use of AI in anti-poverty work, she says. AI allowed Lawson to leapfrog the conventional hurdles of using old and incomplete data to quickly make the most of her limited budget... When governments and aid agencies are facing limited budgets and sudden economic shocks, AI could be the key tool that helps to get aid to the people who need it most." Read the full piece: https://lnkd.in/eAW6RqK8 Learn more about GiveDirectly's AI/ML work: https://lnkd.in/ezwMNHXk