Measure comparable subgroup outcomes before and after | AIGP
7-day money-back guarantee — full refund within 7 days of purchase if you've completed under 20% of the questions. See pricing →
Certifications Tools Flashcards Career Paths Exam Guides Blog Pricing For Teams About

Language

✓ EnglishDeutschEspañolFrançaisPortuguês
Check readiness — free →

Measure comparable subgroup outcomes before and after: Which evidence is most probative?

AIGP Understanding How to Govern AI Development Hard

Measure comparable subgroup outcomes while accounting for claim-mix changes; referral rates alone cannot show effectiveness.

The question

An insurer introduced a mitigation intended to reduce disparate claim-triage referrals. Early monitoring shows referral rates changed, but the team lacks outcome-quality measures and has not separated changes in claim mix from mitigation effects. Approval of continued use requires evidence that the mitigation works in practice. Which evidence is most probative?

Preparing for AIGP? Take the free 5-min readiness quiz →

  1. Measure comparable subgroup outcomes before and after mitigation, adjusting for claim mix. ✓
    This connects the intervention to relevant outcomes while accounting for changing inputs and subgroup effects.
  2. Ask supervisors to rate whether the mitigation appears fair during monthly governance meetings and record recurring concerns.
    Supervisor feedback can identify concerns, but impressions alone cannot establish outcome quality or account for changing claim mix.
  3. Compare supplier benchmark results before and after deployment.
    Supplier benchmarks may not reflect the insurer’s changing claim population or the mitigation’s operational effects.
  4. Track monthly referral rates by subgroup.
    Referral rates show activity changes but do not establish outcome quality or separate claim-mix effects from mitigation effects.
The trap
A changed distribution is a signal to measure outcomes, not proof that quality improved or declined.

How to remember it

Measure comparable subgroup outcomes while accounting for claim-mix changes; referral rates alone cannot show effectiveness.

How many of these would you get right?

One of 1581 AIGP questions on Certsqill. Take a free five-minute check and see your score per domain — not one number, but which section to open tonight.

Test your AIGP readiness — free

More Understanding How to Govern AI Development questions

Part of the Certsqill AIGP question bank · Understanding How to Govern AI Development · Every answer, right and wrong, comes with its own explanation.