Revalidate labels against document requirements | AIGP
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Revalidate labels against document requirements: Which mitigation addresses the remaining risk most directly?

AIGP Understanding How to Govern AI Development Medium

Historical outcomes may encode unequal processes; reassess labels against objective requirements before training.

The question

A financial-services team trains document-processing software on historical cases marked “approved” or “returned.” Review shows earlier staff returned documents more often from one language community because translation support was limited. Which mitigation addresses the remaining risk most directly?

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  1. Add independent reviewers after training to check model outputs.
    Post-training review may detect some errors, but it leaves biased historical targets embedded in the training data.
  2. Revalidate labels against document requirements. ✓
    Because historical outcomes reflect unequal translation support, labels should be independently reassessed against objective document requirements before training.
  3. Balance approval classes while retaining the historical labels.
    Class balance does not correct labels that systematically reflect unequal translation access or treatment.
  4. Mask language fields.
    Removing language fields can hide disparities from measurement while leaving historically biased return labels unchanged.
The trap
Ask whether the recorded decision measured the desired outcome or merely reproduced earlier institutional constraints.

How to remember it

Historical outcomes may encode unequal processes; reassess labels against objective requirements before training.

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