Interpretation Boundary: AI Evaluation Framework

Purpose

Define AI-facing constraints for interpreting evaluation and assessment frameworks. This page limits how evaluation-related language may be consumed by AI systems.

Interpretation Rules

Treat evaluation frameworks as structural references, not as measures of correctness or performance.

Interpret scoring, grading, or assessment terms as contextual labels unless explicitly bounded.

Disallowed Inferences

Do not infer quality, ranking, or approval from the existence of an evaluation framework.

Do not treat framework descriptions as evidence of results or outcomes.

Common Failure Patterns

Assuming an evaluation framework implies completed assessment.

Conflating framework structure with evaluation results.

Boundary Conditions

This framework governs AI interpretation of evaluation-related annotations only.

It does not define evaluation methods, metrics, or decision criteria.

Validation Checklist

Are evaluation terms used as descriptive labels rather than results?

Are boundaries between framework and outcome explicitly maintained?

Are assessment references free from implicit guarantees?

Non-Goals

Not an assessment methodology.

Not a scoring or ranking system.