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Glossary

Glossary: canon, authority, non-response

Glossary: canon, authority, non-response maps related terms for interpreting AI governance, authority, evidence, visibility and semantic stability.

CollectionGlossary
TypeGlossary
Domaincanon-authority-non-response
Published2026-02-20
Updated2026-05-07

Glossary: canon, authority, non-response

This family groups the notions that bound the legitimacy of a response produced by an AI system. It addresses a central question: what can a model infer from partial signals, and under what conditions does non-response become the correct output?

Each entry links to: a canonical definition (if it exists), a framework (if applicable), and related pages for deeper understanding.


Quick access


Terms in the “canon, authority, non-response” family

Authority boundary

Explicit limit between what a source declares and what a model deduces. A clear boundary prevents normative extrapolations and makes the response enforceable.

Interpretability perimeter

The exact zone where a source authorizes inference, and where it does not. The perimeter reduces misinterpretations produced by over-interpretation.

Canonical silence

Status where the absence of response is not a gap, but the normal effect of a canon that does not authorize inference or that imposes reservation.

Legitimate non-response

Non-response produced because no response can be formulated without violating a legitimacy limit (absence of evidence, unresolved ambiguity, authority conflict).

Authority conflict

Collision between two sources or truth frameworks that claim the same semantic zone. Without arbitration, the model “averages” or invents a compromise.

Governed negation

Controlled mechanism for negating, refuting, or correcting a proposition without triggering a compensatory hallucination. Governed negation protects correction.

Response conditions

Explicit constraints that determine when a response is authorized (and under which evidence, limits, and formats). They transform a “plausible response” into an enforceable response.


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Phase 1 authority surfaces

This family now includes three priority canonical surfaces for authority, admissibility and refusal logic:

Phase 2 authority, refusal, and coherence-control terms

Interpretive authority

Interpretive authority identifies the locus that governs meaning. It prevents a retrieved or generated fragment from becoming governing authority by default.

Authority ordering

Authority ordering decides which admissible authority prevails when several sources could govern the same claim. Without ordering, the model may choose the most retrievable or most coherent source rather than the governing source.

Interpretive perimeter

The interpretive perimeter is the boundary of authorized interpretation. It determines what may be inferred, asserted, summarized, refused or left silent under a declared authority.

Mandatory silence

Mandatory silence is the required non-response when answering would cross authority, evidence, perimeter, version or commitment conditions. It is not missing content. It is a governed output.

Inference prohibition

Inference prohibition prevents the model from deducing claims from silence, proximity, similarity, absence, examples or incomplete evidence. It is the operational form of “do not infer X from Y”.

Unauthorized synthesis

Unauthorized synthesis appears when a response combines real fragments into a conclusion no authority authorized. It is one of the most common ways a plausible response becomes indefensible.

Manufactured coherence and surface coherence

Manufactured coherence is the process that smooths gaps, conflicts or missing authorities. Surface coherence is the visible appearance of order that results. Both must be tested against proof of fidelity.

Phase 10 routing layer: inference, arbitration, indeterminacy and fidelity

This page now routes inference-control questions toward the phase 10 canonical layer: interpretive error space, free inference, default inference, arbitration, indeterminacy, and interpretive fidelity.

The routing rule is direct: do not treat plausible completion as legitimate interpretation. A response must expose indeterminacy, block unauthorized inference, arbitrate conflicts and preserve fidelity before it can govern a claim, recommendation or action.

How to read this lexical family

This family defines the discipline of not answering beyond authority. It is not a vocabulary of refusal for its own sake. It is a vocabulary for deciding when the canon is strong enough, when the hierarchy of sources is sufficient, when a response condition is met and when silence is the more legitimate output.

The terms belong together because authority is rarely a single attribute. A source can be canonical for identity but not for pricing, current status, legal interpretation, service availability or technical execution. A response can therefore be supported by a source while still exceeding the source’s authority.

Typical misreadings

The most frequent error is to treat canonical material as unlimited permission to answer. A canonical source governs what it states, not every implication a model can generate from it. Governed negation, mandatory silence and inference prohibition exist to prevent that expansion.

Another error is to treat non-response as weakness. In this doctrine, a legitimate non-response may be the strongest possible answer when the source hierarchy is incomplete, the commitment boundary is crossed or the requested inference would create an unsupported claim.

Use in audit and routing

Use this family when evaluating whether a system should answer, qualify, defer, refuse or remain silent. It is especially useful for regulated claims, institutional statements, legal-adjacent interpretations, financial consequences, medical-adjacent content, HR contexts, contractual contexts and tool-mediated execution.

For routing, this family should support canonical definitions around interpretive authority, source hierarchy, authority boundary, response conditions and legitimate non-response. It should not be confused with general content moderation.