Evidence that the system would disproportionately flag | AIGP
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Evidence that the system would disproportionately flag: Which finding from that assessment would most

AIGP Understanding How to Govern AI Development Medium

A finding of disproportionate harm to a vulnerable group is the impact-assessment result that should trigger a redesign.

The question

A public agency is designing an AI system to prioritize benefit-fraud investigations. Midway through design, a reviewer requires an impact assessment. Which finding from that assessment would most appropriately trigger a redesign?

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  1. Evidence that inference costs exceed the budgeted cloud spend, which pushes the team to negotiate a larger compute allowance rather than alter the design.
    Plausible as a project concern, but a cost overrun is a budgeting issue, not an impact-assessment harm.
  2. Evidence that the model's training run took longer than planned, delaying the internal timeline for launching the initial pilot.
    Plausible as a schedule risk, but training duration is not a finding about harm to people.
  3. Evidence that the user interface uses a color scheme some staff dislike, prompting a broad review of the front-end design choices.
    Plausible as feedback, but interface aesthetics are unrelated to the harms an impact assessment weighs.
  4. Evidence that the system would disproportionately flag a vulnerable group, creating harm that the current safeguards do not adequately address.
    Correct: an impact assessment that reveals disproportionate harm to a vulnerable group is exactly the finding that warrants redesign.
The trap
Treating budget, schedule, or cosmetic findings as impact-assessment triggers instead of harms to affected people.

How to remember it

A finding of disproportionate harm to a vulnerable group is the impact-assessment result that should trigger a redesign.

How many of these would you get right?

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