Current discourse on AI execution integrity treats the hardware boundary as the primary locus of governance. This paper argues that execution integrity, while necessary, is insufficient as a standalone architecture. Sovereignty in multi-stakeholder AI systems requires governance structures capable of distinguishing upstream distortions from downstream enforcement. This work identifies the structural surfaces missing from boundary-centric approaches and outlines the conditions any governance model must satisfy to remain valid across heterogeneous actors, models, and temporal contexts.
Narnaiezzsshaa Truong (Thu,) studied this question.