Use-case assessment: Which AI life-cycle stage does this control primarily target?

Evaluating appropriateness before any data or build work is the use-case-assessment stage.

The question

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1. Deployment and monitoring, because reviewing an application's appropriateness is chiefly a matter of watching the system's behavior after it goes live in production.

   Plausible but wrong: this stage occurs after build and release, not before data collection.
2. Use-case assessment, because it evaluates whether a proposed AI application is appropriate and justified before any data acquisition or model development begins. ✓

   Correct: judging appropriateness before building is precisely the use-case-assessment stage.
3. Incident management, because assessing whether a use case should proceed is fundamentally the same activity as responding to and remediating operational AI failures.

   Plausible but wrong: incident management addresses failures during operation, not pre-build appropriateness.
4. Training and testing, because determining whether a use case is justified is primarily accomplished by evaluating model accuracy on held-out validation datasets.

   Plausible but wrong: training and testing occurs after a use case is approved and data is gathered.

How to remember it

Evaluating appropriateness before any data or build work is the use-case-assessment stage.

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