Document data lineage for training and testing artifacts | AIGP
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Document data lineage for training and testing artifacts: What evidence should be required before approval?

AIGP Understanding How to Govern AI Development Easy

Require lineage records covering sources, transformations, periods, and versions.

The question

A logistics scheduler uses data from several vendors. The team knows the data were cleaned and merged, but cannot identify the original sources, transformations, collection periods, or exact dataset version used in testing. What evidence should be required before approval?

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  1. Rerun the evaluation on the merged dataset
    A rerun may update performance results but leaves the dataset’s origins, transformations, periods, and version uncertain.
  2. Document data lineage for training and testing artifacts ✓
    Source, transformation, time-period, and version records directly resolve each stated provenance gap and support reproducible evaluation.
  3. Benchmark the scheduler against another system
    A benchmark may show relative performance but cannot establish the evaluated data’s origin, processing history, or version.
  4. Acquire additional records from the same vendors
    More records do not identify the history or exact version of the data already used for testing.
The trap
Match evidence to the uncertainty: provenance questions require lineage, not merely new performance measurements.

How to remember it

Require lineage records covering sources, transformations, periods, and versions.

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