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

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.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-23
DOI
https://doi.org/10.5281/zenodo.20351474
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

The First Waters
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

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

The First Waters
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Building Research Institute (JP)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.