Use case assessment: Which AI life-cycle stage is this? | AIGP
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Use case assessment: Which AI life-cycle stage is this?

AIGP Understanding the Foundations of AI Governance Easy

Deciding whether a proposed AI project should proceed is the use-case assessment stage.

The question

Before any model is built, a team evaluates whether a proposed AI project is appropriate, justified, and worth pursuing at all. Which AI life-cycle stage is this?

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  1. Incident management, where a realized AI failure or harm is investigated, contained and remediated.
    Plausible but wrong: this reacts to an event during operation, not to initial project evaluation.
  2. Use case assessment, where the suitability and justification of a proposed AI project are evaluated. ✓
    Correct: judging whether an AI project should proceed is the use-case assessment stage at the front of the life cycle.
  3. Training and testing, where a built model's performance is measured and validated before its release.
    Plausible but wrong: this occurs after a model is developed, not at project justification.
  4. Deployment and monitoring, where a live system's ongoing performance is tracked after it goes live.
    Plausible but wrong: this is a post-release stage, well after use-case assessment.
The trap
Confusing the up-front use-case assessment with later evaluative stages like training/testing or monitoring.

How to remember it

Deciding whether a proposed AI project should proceed is the use-case assessment stage.

How many of these would you get right?

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More Understanding the Foundations of AI Governance questions

Part of the Certsqill AIGP question bank · Understanding the Foundations of AI Governance · Every answer, right and wrong, comes with its own explanation.