What is the purpose of governance compliance reviews in AI monitoring?

• A. Ensure consistency in model architecture across teams.
• B. Ensure adherence to policies, regulations, and ethical standards; provide traceability.
• C. Optimize runtime performance on hardware.
• D. Improve data labeling speed.

Answer: (B)

Governance compliance reviews in AI monitoring are about making sure AI systems operate within approved rules, policies, regulations, and ethical standards, while also creating a traceable record of how decisions are made. This means checking that data usage, model development, deployment, and ongoing operation follow the approved governance framework, and that there are auditable logs showing what data was used, which model version was employed, what decisions were made, and why. Such reviews support accountability, regulatory compliance, risk management, and public trust by providing transparency and a clear path for audits and remediation if issues arise. They aren’t primarily about engineering performance or speed—those goals belong to other processes.