Which governance mechanism helps ensure accountability for AI initiatives?

• A. AI steering committees.
• B. Data sharding.
• C. Server virtualization.
• D. Code minification.

Answer: (A)

Accountability for AI initiatives is enforced through formal governance structures that assign ownership, define decision rights, and establish oversight and escalation processes. A steering committee focused on AI serves this purpose by bringing together senior leaders from product, engineering, legal/compliance, risk, data ethics, and security to set strategy, approve initiatives, allocate budget, define policies, and monitor performance and risks. This body creates clear traceability of decisions, ensures alignment with organizational goals, and enables leadership to hold teams accountable for outcomes, including ethical and regulatory considerations. Without such a governance mechanism, accountability tends to be diffuse and harder to enforce. The other options are technical concepts unrelated to governance and accountability: data sharding concerns data partitioning, server virtualization relates to infrastructure, and code minification deals with reducing code size for performance.