This work uncovers limitations of boundary-focused governance in AI, suggesting improvements for multi-stakeholder systems.
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.
No takes yet. Share an insight, caveat, or question.
Narnaiezzsshaa Truong (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: