Code complaints against outputs: Which evidence is most | AIGP
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Code complaints against outputs: Which evidence is most probative?

AIGP Understanding How to Govern AI Deployment and Use Medium

Link complaint substance to outputs and contexts to determine whether restriction omissions recur beyond individual reports.

The question

A research-administration assistant receives complaints that summaries omit grant restrictions, although aggregate accuracy is high. Before expansion, the organization must determine whether the complaints indicate a broader monitoring issue. Which evidence is most probative?

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  1. Recheck aggregate accuracy on the original dataset only.
    The original aggregate metric may remain high while restriction omissions persist in a particular grant category or use context.
  2. Ask complainants whether summaries helped.
    General usefulness feedback does not test whether specific restriction omissions systematically affect particular contexts.
  3. Code complaints against outputs, grant types, and omissions. ✓
    Linking complaint content to source outputs and contexts tests recurrence, affected categories, and whether the reported omission is systematic.
  4. Count complaints monthly.
    Monthly counts show volume but not whether restriction omissions recur across grant types or outputs.
The trap
Analyze complaint substance and context, not merely counts or aggregate accuracy.

How to remember it

Link complaint substance to outputs and contexts to determine whether restriction omissions recur beyond individual reports.

How many of these would you get right?

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