Requiring user training: Which action best reflects applying | AIGP
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Requiring user training: Which action best reflects applying an organization's governance policies,

AIGP Understanding How to Govern AI Deployment and Use Easy

Applying governance means having training, data controls, and issue-management procedures in place before go-live.

The question

Which action best reflects applying an organization's governance policies, procedures, and best practices when deploying an AI system?

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  1. Requiring user training, documented data-governance controls, and issue-management procedures to be in place before the system goes live to end users. ✓
    Correct because applying governance means operationalizing the required controls and training prior to go-live.
  2. Delaying all policy and control decisions until after launch so that real production usage can reveal which governance measures are actually necessary.
    Wrong because governance is meant to be applied before deployment, not reverse-engineered from live incidents.
  3. Delegating governance entirely to the model vendor, since the deployer only operates the system and does not build the underlying model itself.
    Plausible but wrong because deployers retain their own governance responsibilities regardless of who built the model.
  4. Applying governance policies only to the highest-revenue use cases, leaving lower-priority deployments to operate without any formal controls in place.
    Wrong because selectively applying controls by revenue leaves governed obligations unmet for other deployments.
The trap
Assuming a deployer can defer, outsource, or selectively skip governance controls at deployment.

How to remember it

Applying governance means having training, data controls, and issue-management procedures in place before go-live.

How many of these would you get right?

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More Understanding How to Govern AI Deployment and Use questions

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.