This working paper introduces AGI Output Governance as a structural framework for positioning AI+AGI outputs as candidate, reference, or assistive outputs before they are mistaken for human judgment, consent, approval, responsibility, evidence, state, execution results, or legal effect. Building on Papers 1 through 6 of the AGI Structural Alignment Series, this paper addresses the positional governance problem of AI+AGI outputs. It defines text, code, image, video, subtitle, voice, prompt, revision, and conversational outputs generated by AI+AGI systems as coordinate-referable candidate, reference, or assistive outputs rather than final states, completed decisions, approvals, evidence, or executable results. The paper does not present a system for controlling AGI itself. It does not perform judgment, approval, consent, evidence confirmation, state generation, execution, settlement, or legal determination. Rather, it provides a non-executable structural framework for keeping AI+AGI outputs below human discretion and within evidentiary, responsibility, and state boundaries. This working paper is Paper 7 of the AGI Structural Alignment Series. This record provides the Expanded Final Publication Edition v3.0 of Paper 7 in the Structural Paper Series under the Research Program on Deterministic Infrastructure and Human-Centered AI Coordination. This version includes unified publication front matter, expanded academic structure, strengthened non-substitution boundaries, and broader cross-domain applicability.
The First Waters (2026) studied this question.