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James C. Scott

The Yale political scientist who spent four decades documenting how states, corporations, and institutions destroy working systems they do not understand—and whose concepts of métis, legibility, and the four conditions of catastrophe are the sharpest available tools for diagnosing what AI governance is getting wrong.
James C. Scott did not live to see the AI transition fully arrive—he died in 2024 at eighty-seven—but he spent forty years producing the conceptual vocabulary it most urgently needs. His career had a single organizing insight, approached from a dozen different angles: that the knowledge required to govern complex systems well is not concentrated at the top. It is distributed among the people who inhabit those systems daily, built through sustained engagement with specific, resistant materials, and too local, too embodied, and too contextual to survive the extraction required to make it legible to any governing authority. When the authority acts on its simplified map rather than the complex territory—when it clears the underbrush in the name of rational management—the system that depended on the underbrush dies. Seeing Like a State (1998) is the masterwork: Prussian forestry, Soviet collectivization, Le Corbusier’s urbanism, the cadastral map—each a case study
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