Train staff to interpret uncertainty before using scores | AIGP
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Train staff to interpret uncertainty before using scores: Which control most directly addresses the

AIGP Understanding the Foundations of AI Governance Easy

Probabilistic outputs require users to understand uncertainty and maintain oversight before decisions.

The question

A procurement tool assigns probabilities that vendors will meet project requirements. All privacy, security, data-quality, and documentation prerequisites are satisfied. Procurement staff will use the scores in award recommendations. Which control most directly addresses the probabilistic output?

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  1. Display each score with its percentile.
    A percentile display may improve presentation, but it does not ensure staff understand the probability's uncertainty or proper use.
  2. Train staff to interpret uncertainty before using scores. ✓
    Staff should understand that probabilities express uncertainty and apply that understanding before incorporating scores into award recommendations.
  3. Add a second model to verify each score before procurement staff use it.
    A second model may add technical checking, but it does not ensure that staff understand probabilistic uncertainty or prevent common-model limitations.
  4. Publish scores with documentation of their intended meaning and limits.
    Documentation supports transparency, but publication alone does not ensure the staff using scores interpret uncertainty before acting.
The trap
When outputs are probabilities, look for calibrated interpretation and oversight—not certainty, concealment, or automatic action.

How to remember it

Probabilistic outputs require users to understand uncertainty and maintain oversight before decisions.

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