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Create targeted tests for the rare severe condition: Which additional control most directly addresses this

AIGP Understanding How to Govern AI Development Hard

Rare, severe conditions require targeted scenarios because ordinary aggregate testing may not expose them.

The question

A research-administration screening model meets ordinary accuracy, subgroup, privacy, security, and documentation requirements. Historical testing contains few applications involving a rare medical-disclosure pattern that can cause severe denial errors. All routine test prerequisites are satisfied. Which additional control most directly addresses this risk?

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  1. Report the model’s average denial accuracy.
    Average accuracy can obscure rare but severe failures and therefore cannot establish acceptable behavior for the specified condition.
  2. Create targeted tests for the rare severe condition.
    Targeted scenario testing deliberately evaluates the uncommon, consequential condition that ordinary representative sampling undercovers.
  3. Compare processing speed across application categories.
    Latency comparisons concern efficiency, not whether the model handles the rare medical-disclosure pattern safely and correctly.
  4. Increase routine test-set size.
    A larger routine sample may still omit the rare severe condition, leaving the specific high-consequence failure insufficiently evaluated.
The trap
For low-frequency, high-severity cases, look for focused scenario testing rather than larger averages.

How to remember it

Rare, severe conditions require targeted scenarios because ordinary aggregate testing may not expose them.

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