Documented data-use approval tracing the required lineage | AIGP
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Documented data-use approval tracing the required lineage: What is most decisive?

AIGP Understanding the Foundations of AI Governance Medium

Require approval tracing transcript lineage, appropriateness, retention, limits, and residual risks.

The question

A customer-service team proposes using recorded chat transcripts to improve an AI response assistant. The transcripts contain personal information, and the team cannot show their original purpose, transformations, or retention limits. For this internal approval decision, with any applicable EU AI Act review handled separately, the evidence must address provenance, purpose, transformations, retention, population limits, and residual risks. What is most decisive?

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  1. Documented data-use approval tracing the required lineage and residual risks. ✓
    Such approval must connect provenance, purpose, transformations, retention, population limits, and unresolved risks to the proposed use.
  2. An accuracy test using randomly selected conversations before model tuning.
    Accuracy testing may assess outputs, but it does not establish whether the transcripts are appropriately sourced, transformed, retained, or representative.
  3. A larger sample of historical transcripts.
    More records do not resolve unknown provenance, purpose, transformations, retention, or limitations.
  4. A vendor statement that transcripts stay within the platform and are access-controlled.
    Containment and access controls address only some handling risks; they do not establish appropriate source, purpose, transformation history, or retention.
The trap
Data volume and accuracy do not substitute for provenance, purpose, population limits, and documented residual risk.

How to remember it

Require approval tracing transcript lineage, appropriateness, retention, limits, and residual risks.

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