Deliver role-based user training so staff can correctly | AIGP
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Deliver role-based user training so staff can correctly: Which action most directly closes the

AIGP Understanding How to Govern AI Deployment and Use Hard

Among the deployment-readiness controls, targeted user training is the one that directly addresses staff who must act on outputs they have never been taught to interpret.

The question

A bank is deploying a purchased credit-decisioning model that will process customer financial data, the launch date is fixed by a marketing campaign, and the front-line staff who will act on its outputs have received no instruction on the tool. Governance leadership must choose one deployment-readiness action that best applies the organization's policies before go-live. Which action most directly closes the highest-priority gap given these constraints?

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  1. Retrain the underlying model on fresher institutional data so its scoring reflects the bank's most recent portfolio and current lending conditions.
    Plausible because retraining is a real deployment activity, but the stem gives no evidence of model drift, and it ignores the untrained-user gap that actually blocks safe use.
  2. Commission an independent adversarial red-team exercise to probe the model for evasion, manipulation, and worst-case failure modes before release.
    Plausible as a pre-release assurance step, but red teaming is a periodic safety-assessment activity, not the readiness gap created by staff who cannot yet interpret outputs.
  3. Publish a transparency notice telling affected customers that an AI system contributes to decisions about their applications.
    Plausible and often required, but external disclosure does not remedy the internal readiness problem of operators who lack the training to use the tool correctly.
  4. Deliver role-based user training so staff can correctly interpret, question, and act on the model's outputs before they rely on them.
    Correct because untrained users acting on high-stakes outputs is the acute deployment gap the objective flags (user training), and it is the control that directly prevents misuse at go-live.
The trap
Believing additional model-level testing outranks preparing the humans who will actually operate the system.

How to remember it

Among the deployment-readiness controls, targeted user training is the one that directly addresses staff who must act on outputs they have never been taught to interpret.

How many of these would you get right?

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