A Responsible AI governance framework primarily defines which of the following and translates them into policies and controls?

• A. It defines principles, and translates them into policies and controls.
• B. It outlines only technology standards for AI systems.
• C. It provides a code of conduct for users of AI tools.
• D. It specifies a fixed budget and staffing plan.

Answer: (B)

A Responsible AI governance framework centers on turning high-level values into actionable rules. It starts by articulating guiding principles—such as fairness, accountability, transparency, privacy, and safety—that express how AI should be governed. Those principles are then translated into concrete policies and controls that shape every stage of an AI program: design, development, deployment, monitoring, and auditing. Policies spell out required actions and responsibilities, while controls put those policies into effect with enforceable mechanisms like risk assessments, data governance standards, model validation, monitoring dashboards, and audit trails. Outlining technology standards alone is too narrow, because governance must connect values to practices, not just specify technical specs. A code of conduct for users or a fixed budget and staffing plan focuses on behavior or resources, not the overarching rules and processes that govern how AI should operate.