Link each evaluation to versioned data: What documentation | AIGP
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Link each evaluation to versioned data: What documentation is decisive?

AIGP Understanding How to Govern AI Development Easy

Full version linkage makes evaluation results traceable to the exact data, processing, model, and configuration.

The question

An education-administration team changes its source dataset and preprocessing before reporting a model evaluation. Auditors must identify exactly which inputs, transformations, model artifact, configuration, and evaluation produced the result. What documentation is decisive?

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  1. Preserve the currently deployed model artifact.
    The current artifact may differ from the one used for evaluation and does not identify the data or preprocessing version.
  2. Link metrics to project status and approval records.
    These links improve oversight but do not identify every technical component that produced the reported metrics.
  3. Link each evaluation to versioned data, preprocessing, model artifact, configuration, and results.
    Version links across the full pipeline identify the exact inputs, transformations, model, configuration, and evaluation associated with the result.
  4. Record ownership and approval dates.
    These records support accountability and timing but do not establish the evaluated data, processing, model, or configuration.
The trap
Trace the complete evaluation pipeline, not just the deployed model or headline metric.

How to remember it

Full version linkage makes evaluation results traceable to the exact data, processing, model, and configuration.

How many of these would you get right?

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