CONCEPT
Sovereign AI
The framework — increasingly central to AI governance debates — that asks whether nations and communities can claim genuine sovereignty over AI systems trained on data extracted from them, governed by rules they did not write, and embodying values they did not choose.
Sovereign AI is the emerging framework that asks whether national or community sovereignty has any meaningful application to AI systems trained on globally scraped data, operated on infrastructure concentrated in a handful of jurisdictions, and shaped by values reflecting the priorities of their developers. The concept emerged from the recognition that contemporary AI systems are not neutral tools but specific cultural and political artifacts — embodying particular linguistic priorities, particular knowledge bases, particular value commitments, and particular understandings of what intelligence is for. A nation that depends entirely on AI systems developed elsewhere has, in this framework, surrendered a form of sovereignty more consequential than territorial control. Chang's framework treats sovereign AI as a contemporary expression of the developmental sovereignty that successful developers historically asserted — the right to shape the technological infrastructure of one's own society according to one's own priorities, against the pressure to accept whatever the leading powers provide.
