Which framework is described as optimizing resources, achieving benefits, and reducing risks with a structured approach to AI governance?

• A. ISACA COBIT
• B. Data governance
• C. Balanced scorecard
• D. Training data issues

Answer: (A)

Understanding AI governance relies on a framework that optimizes resources, delivers benefits, and reduces risks through a structured approach. This description fits COBIT, an ISACA framework for governing enterprise IT. COBIT provides a comprehensive, process-based model with governance and management objectives that connect IT resources and actions to business goals, focusing on maximizing value, managing risk, and ensuring efficient resource use. Its structured controls and assurance mechanisms give organizations a clear path to govern AI initiatives in a way that aligns with strategy and complies with risk and security requirements. Data governance centers on data stewardship and quality, not as a complete governance framework for AI; the balanced scorecard is a strategy-translation and performance-measurement tool; training data issues are specific data problems, not a governance framework.