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Corpus qualification helps a team decide what content may support one declared AI use, under what conditions, and on what evidence.

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The qualification loop

1

Declare the use

Define the intended AI system, audience, purpose, decision authority, and criteria before evaluating content.
2

Freeze the corpus

Establish the exact population under consideration so included, excluded, unsupported, failed, and unresolved items can all be accounted for.
3

Produce evidence

Generate attributable utility, risk, and sufficiency evidence without collapsing them into an intrinsic value or safety score.
4

Make and preserve the decision

The customer applies its policy and authority. The resulting record keeps the decision, evidence, unresolved states, and basis together.
5

Hand off the approved population

Project the exact approved items and conditions to the named downstream system, then requalify after a material change.

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Two different artifacts

  • A Corpus Qualification Record explains the complete decision and its basis.
  • A Qualified Corpus Manifest carries the exact customer-approved population and conditions to a named downstream consumer.
Neither artifact grants authority by itself. The customer remains responsible for the decision and downstream use.

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What qualification does not claim

Qualification does not establish ownership, rights, factual origin, intrinsic value, universal safety, or overall fitness for AI. It answers a narrower and more useful question: what the available evidence supports for one declared use, including where that evidence is incomplete.