Paper 10 — Consent and Order Candidate Layers in the AGI Era: Non-Executable Action Candidates Before Human Discretion

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Authors: The First Waters
Cited by: 40
References: 9

Abstract

This working paper introduces Consent and Order Candidate Layers as a non-executable framework for AI+AGI-generated consent phrases, order phrases, approval phrases, payment request phrases, contract phrases, and action request phrases in the AGI era. Building on Papers 1 through 9 of the AGI Structural Alignment Series, this paper addresses the structural risk that AI+AGI-generated language resembling consent, order, approval, payment, contract, or action request language may be mistaken for completed human acts or external system operations. The paper defines consent-like, order-like, approval-like, payment-like, contract-like, and action-request-like phrases generated by AI+AGI systems as candidate phrases before human discretion, role alignment, authority-condition boundary review, multi-layer verification, evidentiary reference, sealing reference, preservation reference, or external execution environments. The framework does not present a consent application, order processing system, payment engine, contract formation mechanism, autonomous agent architecture, execution system, settlement system, or legal-effect mechanism. It provides a non-executable candidate layer that prevents generated action-like phrases from being directly elevated into consent, approval, payment, contract formation, responsibility determination, external action, or legal effect. This working paper is Paper 10 of the AGI Structural Alignment Series. This record provides the Expanded Final Publication Edition v3.0 of Paper 10 in the Structural Paper Series under the Research Program on Deterministic Infrastructure and Human-Centered AI Coordination. This version reflects the second expanded publication revision, with unified publication front matter, expanded academic structure, strengthened non-substitution boundaries, and broader cross-domain applicability.

Fields of Study & Subjects

Ethics and Social Impacts of AI Multi-Agent Systems and Negotiation Artificial Intelligence in Law

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 May 2026
Language
EN