Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. AI risk awareness training must remain current because threats, attack techniques, model capabilities, and regulatory expectations evolve rapidly. Static training quickly becomes obsolete, so content should be refreshed to reflect emerging AI-specific risks and attack patterns. This makes option B, Ensuring contents are regularly updated to reflect new AI threats, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.