Create a documented data lineage record: Which missing control | AIGP
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Create a documented data lineage record: Which missing control is most direct?

AIGP Understanding How to Govern AI Development Hard

The unresolved issue is traceability: origins, transformations, and versions require a documented dataset lineage record.

The question

A media company is preparing an AI editing system. Its intended purpose, privacy basis, representative test set, acceptance criteria, subgroup results, and versioned model are documented. However, reviewers cannot establish where several training files originated or how they were transformed. Which missing control is most direct?

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  1. Expand the held-out test set
    A larger held-out set may improve evaluation coverage, but it does not establish origins or transformations of training files.
  2. Conduct additional subgroup performance analysis
    Subgroup analysis addresses differential performance, while the identified problem concerns undocumented source history and transformations.
  3. Create a documented data lineage record ✓
    A lineage record connects each dataset version to origins, transformations, and relevant handling decisions, resolving the stated evidence gap.
  4. Apply synthetic augmentation to missing files
    Synthetic augmentation changes or supplements data but cannot establish the provenance of existing files with unknown origins.
The trap
When origins and transformations are unknown, select traceability documentation rather than another evaluation activity.

How to remember it

The unresolved issue is traceability: origins, transformations, and versions require a documented dataset lineage record.

How many of these would you get right?

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Part of the Certsqill AIGP question bank · Understanding How to Govern AI Development · Every answer, right and wrong, comes with its own explanation.