Measure affected-person outcomes alongside processing | AIGP
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Measure affected-person outcomes alongside processing: Which control is most direct?

AIGP Understanding How to Govern AI Development Hard

Measure applicant outcomes alongside the bank’s efficiency metric.

The question

A bank’s document processor reduces handling time, but testing shows some applicants’ files receive more manual referrals and longer delays. Purpose, users, controls, and monitoring are documented; the missing evidence concerns outcomes. Which control is most direct?

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  1. Compare only aggregate accuracy with the prior workflow.
    Aggregate accuracy may conceal subgroup differences and does not measure applicants’ unequal delays or burdens.
  2. Measure affected-person outcomes alongside processing efficiency.
    Business speed alone misses unequal delays, so outcome measures must capture effects on applicants as well as organizational performance.
  3. Ask the vendor to certify that efficiency gains are fair.
    Vendor assurance cannot replace direct evidence about outcomes experienced by applicants in the bank’s actual deployment context.
  4. Increase throughput until average handling time improves.
    Further throughput optimization could worsen unequal referrals while providing no evidence about applicant-level consequences.
The trap
A faster process is not sufficient evidence when affected groups experience different burdens.

How to remember it

Measure applicant outcomes alongside the bank’s efficiency metric.

How many of these would you get right?

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