Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governance
arXiv:2607.13040v1 Announce Type: new Abstract: This paper examines where final authority should sit once capable AI systems are embedded in organizational workflows. It compares two governance models. The first, frontier-provider sovereignty, assigns privileged authority to the provider of the most capable models and is reflected in contemporary arguments for frontier-model testing, release gating, transparency duties, and compute-related controls. The second, action-centered deployer sovereign
Record details
Published: 16 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Transparency
Retrieved: 16 July 2026
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ethics.ai (16 July 2026), “Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governance,” evidence record 10536, https://ethics.ai/record/10536 (originally published by arXiv cs.CY).
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