Sample subgroup decisions: Which choice best addresses | AIGP
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Sample subgroup decisions: Which choice best addresses incomplete evidence while enabling action before

AIGP Understanding How to Govern AI Development Hard

Use targeted subgroup sampling and outcome validation, with thresholds linking disparities to escalation.

The question

For an EU employment-screening deployment subject to applicable EU AI Act obligations and the organization’s internal monitoring policy, a vendor supplies drift alerts, but subgroup outcome labels are incomplete and renewal decisions are near. The team can fund one monitoring approach. Which choice best addresses incomplete evidence while enabling action before renewal?

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  1. Use vendor drift alerts as the interim control.
    Drift alerts identify distribution changes but do not validate subgroup outcomes or show whether screening impacts are acceptable.
  2. Sample subgroup decisions, validate outcomes, and escalate material disparities.
    Targeted sampling and outcome validation address incomplete labels, while defined escalation enables timely intervention before renewal.
  3. Wait for complete historical labels before evaluating subgroup outcomes.
    Deferring review delays risk treatment; suitable sampling and documented uncertainty can produce useful interim evidence.
  4. Compare aggregate accuracy using available outcomes each quarter.
    Aggregate accuracy can conceal subgroup disparities, and quarterly comparison may not provide actionable evidence before renewal.
The trap
Separate detecting distribution changes from validating outcomes, and connect impacts to response authority.

How to remember it

Use targeted subgroup sampling and outcome validation, with thresholds linking disparities to escalation.

How many of these would you get right?

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