Evaluate affected-person outcomes with efficiency before | AIGP
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Evaluate affected-person outcomes with efficiency before: What does the contrasting evidence most directly

AIGP Understanding How to Govern AI Development Medium

Improved efficiency does not offset worse outcomes for an affected group without evaluating both dimensions.

The question

A travel-support assistant lowers average handling time, yet repeat contacts increase among passengers with limited language proficiency after automated responses. Safety review, monitoring, oversight, and business reporting are satisfied. What does the contrasting evidence most directly support?

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  1. Investigate response quality for the affected passengers.
    Investigation is appropriate, but this option does not state that both affected-person outcomes and efficiency must inform continuation.
  2. Disaggregate repeat contacts in service reporting.
    Disaggregation improves visibility, but reporting alone does not determine whether deployment remains suitable.
  3. Continue deployment based on lower handling time.
    Lower handling time does not establish acceptable outcomes for passengers experiencing more repeat contacts.
  4. Evaluate affected-person outcomes with efficiency before continuing deployment. ✓
    The contrasting results show that operational efficiency and affected-person outcomes must jointly inform whether deployment remains suitable.
The trap
When an aggregate metric improves while a group’s outcomes worsen, evaluate both before deciding whether to continue.

How to remember it

Improved efficiency does not offset worse outcomes for an affected group without evaluating both dimensions.

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