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
- Canonical definitions
- Frameworks and applicable standards
- Clarifications (scope, limits, ambiguous cases)
- Doctrine (principles and positions)
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.
- Definition: Authority boundary
Interpretability perimeter
The exact zone where a source authorizes inference, and where it does not. The perimeter reduces misinterpretations produced by over-interpretation.
- Definition: Interpretability perimeter
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.
- Definition: Canonical silence
Legitimate non-response
Non-response produced because no response can be formulated without violating a legitimacy limit (absence of evidence, unresolved ambiguity, authority conflict).
- Definition: Legitimate non-response
- Clarification: Plausible hypotheses, ungoverned inference, and forbidden plausibility
Authority conflict
Collision between two sources or truth frameworks that claim the same semantic zone. Without arbitration, the model “averages” or invents a compromise.
- Definition: Authority conflict
- Doctrine: Governed negation
Governed negation
Controlled mechanism for negating, refuting, or correcting a proposition without triggering a compensatory hallucination. Governed negation protects correction.
- Definition: Governed negation
- Doctrine: Governed negation: managing conflicts without hallucinating
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.
- Definition: Response conditions
- Framework: Enforceable response conditions for AI agents
Related frameworks and pages (recommended)
- Interpretive governance (definition)
- The framing role of interpretive legitimacy
- Relations: links, dependencies, and internal coherence
Previous page: Glossary: drifts and inertia
Next page: Glossary: evidence, audit, and observability