The Refusal Option: Effective Human Control Before and Beyond Irreversible AI Transitions

This paper develops the Refusal Effectiveness Test (RET), a non-compensatory seven-gate framework for examining whether an independent Human NO remains operationally meaningful before an AI-enabled transition becomes difficult or impossible to reverse. RET evaluates authority, decision-relevant information, practical access, temporal sufficiency, causal efficacy, execution independence, and epistemic autonomy. The framework distinguishes formal human presence from effective refusal, treats validation as time- and scope-dependent, distinguishes redundancy from independence, and requires revalidation and, where relevant, re-authorization after material change. The framework does not claim absolute invulnerability against superintelligence, a containment theorem, permanent Human supremacy, or a universal veto. Its narrower purpose is to examine whether Human standing and effective refusal are structured so that their loss is not made easy, silent, single-point, and irreversible. The public specification intentionally excludes exploitation-ready bypass procedures, failure-inducing sequences, system-specific critical weak points, and attack-oriented dependency maps. Project: LUMINA-30GitHub: https://github.com/lumina-30/lumina-30-overview