A condition in which an AI system's processes and outputs are rendered inspectable and explainable to relevant parties, described as the graded extent of available, accurate disclosure rather than as a single event.
STATE (graded). Rated per system on a defined transparency rubric covering disclosure of AI involvement, of provenance/sources, and of decision rationale, each scored 0-2 and summed to an ordinal index. Scoring is from inspectable system artefacts (notices, logs, explanations), not from user opinion.
Proposed measurement protocol (not yet empirically validated): Rubric-based rater scoring of the disclosure dimensions (AI-use notice / source provenance / rationale availability) to form the transparency index; inter-rater reliability could be reported as ordinal ICC. Items map to concrete artefacts so scoring is auditable.
https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic/#topic-safety-alignment