All stages of the AI life cycle: AI governance policies are intended to ensure oversight and accountability

Governance policies ensure oversight across every stage of the AI life cycle.

The question

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1. Only the final deployment stage, since earlier design and data work does not require governance oversight at all

   Plausible but wrong: oversight is needed from use-case assessment onward, not only at deployment.
2. All stages of the AI life cycle, from use-case assessment through deployment, monitoring, and incident management ✓

   Correct: policies must ensure oversight and accountability across all life-cycle stages.
3. Only the data-collection stage, since risks to the organization arise solely from how training data is gathered

   Plausible but wrong: risks span the whole life cycle, not only data collection.
4. Only the incident-management stage, since governance concerns are limited to responding to failures after their release

   Plausible but wrong: governance is proactive across stages, not confined to post-failure response.

How to remember it

Governance policies ensure oversight across every stage of the AI life cycle.

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