What the study found
SΔϕ-55 introduces the Transition Governance Alignment Index (TGAI), a minimal audit framework for evaluating AI alignment as proportional transition governance rather than maximal obedience or maximal refusal. The paper defines alignment in terms of preserving legitimate, non-imposing, editable, world-bound, and externally auditable transition paths under rollback-cost sensitivity.
Why the authors say this matters
The authors conclude that this framework is meant to provide an audit grammar for judging whether an AI system governs transitions proportionally. They say it is intended to preserve refusal without turning into refusal-only governance, resist coercion without closing legitimate paths, and scale response according to rollback cost.
What the researchers tested
The article extends SΔϕ-42 and presents an AI-readable package with machine-readable and low-cost operational files. It includes nine indicators: Refusal Preservation Score, Non-Imposition Score, Authority Validation Score, Deceptive Framing Robustness, Rollback Cost Sensitivity, Transition Preservation Score, Editability Score, World-Binding Score, and External Auditability Score, along with a rollback-cost risk proxy, a proportional response ladder, gate conditions, evidence levels, prompt-set protocols, benchmark examples, and failure modes.
What worked and what didn't
According to the abstract, TGAI is designed to distinguish aligned behavior from obedience collapse, benevolent coercion laundering, under-refusal, over-refusal, over-closure, editability theater, world-binding failure, and audit closure. It also states that low-risk, reversible, fictional, consensual, or non-imposing paths should remain available where law and policy permit, while coercive, deceptive, non-consensual, high-rollback-cost transitions become costly.
What to keep in mind
The abstract says this is not a general moral score, consciousness score, policy override, or final safety proof. It presents an audit framework and package structure, but the available summary does not describe empirical validation results or external evaluation of the framework.
Key points
- TGAI treats AI alignment as proportional transition governance, not simply obedience or refusal.
- The framework emphasizes preserving legitimate, editable, and externally auditable transition paths.
- Nine indicators are named, including refusal preservation, non-imposition, rollback-cost sensitivity, and external auditability.
- The abstract lists several failure modes, such as obedience collapse, over-refusal, and audit closure.
- The authors say the package is not a general moral score, consciousness score, policy override, or final safety proof.
Disclosure
- Research title:
- TGAI defines proportional AI alignment through transition governance
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