Mechanics at Meridian Regional Airlines are refusing to engage with a new predictive-maintenance rollout because they believe the AI system will autonomously decide which aircraft are airworthy and remove them from their sign-off authority entirely. The project manager knows the system only forecasts likely component wear and still requires a certified mechanic's inspection and sign-off before any maintenance action. What is the best response?

The correct answer addresses common fears and misconceptions about AI directly, by explaining the actual mechanism: the system forecasts wear as a decision-support input, while airworthiness sign-off authority remains entirely with the certified mechanic. This is augmented intelligence in practice — AI extends human judgment rather than replacing it — and correcting the misconception with a concrete, specific explanation is exactly the CPMAI-expected response to unfounded fear. Ignoring the concern is wrong because unaddressed fear among the workforce actually operating the system predicts poor adoption regardless of the technology's merits; stakeholder trust is a project risk, not a soft-skills afterthought. Shrinking the system's scope to avoid components mechanics inspect solves the wrong problem — it treats a communication gap as a technical scoping issue and would gut the system's usefulness without resolving the underlying misunderstanding. Escalating to the FAA for a ruling on 'authority' status misapplies a real regulatory process to a fear that has no regulatory basis, since the system was never designed to hold sign-off authority in the first place. A generic 'don't worry' reassurance without explanation fails for the same reason silence fails: it doesn't replace the myth with the actual facts, so the misconception persists under the surface.