AI Poverty Targeting Cuts Aid Errors by 26%
A breakthrough algorithm combining satellite imagery with community input could transform how aid reaches urban poor. The hybrid approach reduces targeting errors by 26% and identifies households with multiple deprivations using only geospatial data.