Population-specific evidence and data lineage: What should | AIGP
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Population-specific evidence and data lineage: What should procurement require before approval?

AIGP Understanding the Foundations of AI Governance Hard

Approval requires evidence tied to the student population, including subgroup performance and data lineage, not generic accuracy or warranties.

The question

A school district is procuring an AI tool to flag students needing support. The vendor provides overall accuracy and a general warranty, but no subgroup results, training-data provenance, or explanation of data transformations. The district’s procurement policy requires evidence suitable for the intended student population. What should procurement require before approval?

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  1. A longer vendor warranty covering future outcomes
    A longer warranty does not supply missing evidence about subgroup suitability, provenance, transformations, or performance limitations.
  2. Population-specific evidence and data lineage
    Subgroup performance, provenance, transformations, and limitations are necessary to judge fitness for the district’s intended student population.
  3. A higher overall accuracy threshold without subgroup analysis
    Overall accuracy can conceal subgroup limitations and does not establish representativeness or traceability for the intended students.
  4. A supplier benchmark from a different education dataset
    Different-dataset results may not transfer to the district’s population, data conditions, or intended support decisions.
The trap
Match supplier evidence to the actual population and use; broad accuracy and warranties do not replace provenance or subgroup analysis.

How to remember it

Approval requires evidence tied to the student population, including subgroup performance and data lineage, not generic accuracy or warranties.

How many of these would you get right?

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