Machine-Readable Cities

Digital platforms increasingly transform cities into machine-readable environments by converting urban space and everyday activity into data for prediction, classification, and automated decision-making. As AI-driven geospatial models expand, they reshape navigation, governance, surveillance, and military operations, raising urgent questions about power, accountability, and the future relationship between humans, machines, and urban space.