Interpretability perimeter

Type: Canonical definition

, Endogenous governance: canonizing the on-site entity (process)

Conceptual version: 1.0

Stabilization date: 2026-02-19

The interpretability perimeter designates the exact zone in which an AI system can produce a legitimate interpretation from a given corpus, without crossing the authority boundary. It bounds what the corpus allows to assert, and what it forbids to infer.

In interpretive governance, this perimeter is not implicit. It must be declared, tested, and maintained, otherwise AI fills gaps by plausibility, at the cost of interpretive debt.


Definition

Interpretability perimeter is the set of:

  • authorized statements: propositions the corpus explicitly supports (or supports by governed deduction);
  • validity conditions: context, date, version, jurisdiction, audience, exceptions;
  • enforceable limits: what must lead to a legitimate non-response rather than extrapolation.

This perimeter functions as a “reading zone”: inside, interpretation is permitted; outside, it becomes ungoverned.


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