WORK
Seeing Like a State
Scott's 1998 masterwork arguing that state-imposed schemes to improve the human condition systematically fail when they override the local, practical knowledge of the people they govern — the book whose framework this volume applies to AI.
Seeing Like a State is James C. Scott's 1998 comparative study of twentieth-century catastrophes produced by high modernist planning: Prussian scientific forestry, Soviet collectivization, Tanzanian villagization, Brasília, Le Corbusier's urban visions. The book identifies a recurring structural pattern in which powerful institutions, armed with scientific knowledge and rational planning capabilities, impose simplified schemes on complex living systems — producing first-generation successes followed by second-generation collapses. The book's analytical power lies in its diagnostic precision: Scott identifies the specific conditions under which comprehensive planning produces catastrophe, distinguishing these from conditions under which planning produces adequate results. Seeing Like a State escaped its academic discipline and became one of the rare political-theory works to circulate widely among technologists, urbanists, and organizational theorists — which makes its application to AI governance both natural and overdue.
In The You On AI Field Guide
Scott developed the book's framework through four decades of fieldwork across Southeast Asia, beginning