Which combination of elements allows an AI governance operating model to scale across many teams without breaking down?
Select an answer to reveal the explanation.
Short Explanation
You need structure to scale. Defined ownership, policies, workflows, and evidence applied consistently across teams are the operating model; culture, meetings, and good intentions are supporting cast.
Full Explanation
The correct answer is the option defining ownership, policies, workflows, and evidence, applied consistently regardless of team. These four elements together give every team the same repeatable structure to work within, which is what makes the model scale rather than degrade as more teams join. The option describing a rotating group of volunteers who informally decide what counts as acceptable practice is incorrect because an informal, rotating decision-making group produces inconsistent judgement calls rather than a repeatable structure. The option describing a single annual all-hands meeting where governance expectations are announced is incorrect because a once-a-year announcement cannot substitute for ongoing, enforceable structure. The option describing a best-effort culture where teams are trusted to self-regulate is incorrect because self-regulation without defined controls is precisely the gap that leads to inconsistent approval paths and unrecorded decisions. For the exam, name ownership, policy, workflow, and evidence as the four elements of a scalable operating model.