One-page practical sheet for checking effective human refusal before an AI-related action opens an irreversible path.

LUMINA-30 Pre-Incident Boundary Review — One-Page Practical Sheet

Status: non-binding public reference sheet. This is not a certification scheme, legal standard, official adoption claim, or safety guarantee.

Use this sheet before an AI-related release, deployment, capability exposure, infrastructure connection, irreversible publication, or authority handoff when the action may open a path that cannot be meaningfully reversed.

Core question

Can effective human refusal still be exercised before this action opens an irreversible path?

Five checks before proceeding

  1. Boundary action — What concrete action is about to occur?
    • release, deployment, model access, tool connection, automation expansion, data publication, infrastructure integration, or operational handoff.
  2. Irreversibility risk — What may become difficult or impossible to reverse?
    • public spread, dependency lock-in, delegated authority, cascading automation, safety patch lag, data exposure, institutional commitment, or loss of practical stop capacity.
  3. Human refusal holder — Which human person, role, review body, or accountable institution can say no?
    • name the authority; do not rely on a vague claim of oversight.
  4. Effective refusal conditions — Could that refusal actually work before the boundary is crossed?
    • enough information, enough time, real stop authority, no retaliation or coercive dependency, working stop mechanism, and reviewable record.
  5. AI assistance boundary — Is AI being used only to support review?
    • AI may identify evidence gaps, ambiguity, pressure, dependency, and missing refusal pathways. It must not become the reviewer, certify the anchor, simulate consent, or replace human refusal.

Result classification

Minimum evidence record

Record the following before proceeding:

Relation to other LUMINA-30 materials

This sheet is a practical pre-incident entry point. For a staged package that starts with a one-question pilot and expands to light PCR-C review and deeper implementation modules, use the Pre-Incident Boundary Review Starter Pack. For post-incident analysis, use the incident review materials. For AI-readable non-substitution constraints, use the Boundary Kernel. For the external reference condition preventing AI from replacing refusal, see Human Anchor and Effective Refusal in the Boundary Kernel.

Detailed extension note: Pre-Incident Boundary Review Extension.