Evaluate both disparity and delay before adjusting: What should | AIGP
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Evaluate both disparity and delay before adjusting: What should the agency do?

AIGP Understanding How to Govern AI Development Medium

Monitor mitigation benefits and unintended impacts together before deciding whether refinement, replacement, or fallback is warranted.

The question

A public-benefit agency introduces a mitigation that reduces unequal referral rates in testing. Three months later, monitoring shows referral parity remains improved, but processing delays have increased for one subgroup. What should the agency do?

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  1. Keep the mitigation because the original disparity improved.
    Improved parity does not resolve a newly observed subgroup delay that may represent another harmful impact requiring evaluation.
  2. Transfer all referrals to manual review until parity persists.
    Manual review may be a fallback, but the evidence does not establish that universal transfer is necessary or operationally suitable.
  3. Evaluate both disparity and delay before adjusting controls.
    Mitigation effectiveness requires monitoring intended benefits alongside new impacts, followed by evidence-based adjustment and documented residual risk.
  4. Remove the mitigation to restore prior processing speed.
    Removing a control may reinstate the original disparity without establishing that the delay cannot be reduced through refinement.
The trap
Successful movement on one metric does not close monitoring when another subgroup impact emerges.

How to remember it

Monitor mitigation benefits and unintended impacts together before deciding whether refinement, replacement, or fallback is warranted.

How many of these would you get right?

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