In the context of AI governance, what is the primary concern raised by the opacity...

Opacity creates a governance problem because stakeholders may be unable to understand, trace, or adequately explain how an AI system arrived at a particular output. This weakens accountability, effective human oversight, auditing, contestability, and risk management. NIST ' s AI Risk Management Framework connects trustworthy AI with transparency, accountability, explainability, and interpretability, including documenting how systems operate and how outputs are interpreted. Option A incorrectly equates opacity with autonomous operation; an opaque system can still involve humans. Option B concerns regulatory access and intellectual-property issues rather than the fundamental governance problem created by opacity. Option D is also too absolute: lack of interpretability does not automatically make a model unreliable. Therefore, the principal concern is difficulty tracing and justifying outputs, making C the best answer.

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