In AI governance, which term describes ongoing oversight after deployment?

• A. Deployment
• B. Monitoring
• C. Retirement
• D. Problem definition

Answer: (B)

Ongoing oversight after deployment is monitoring. In AI governance, once a system is live, you don’t stop at release—you watch how it behaves in the real world, track key performance and safety metrics, and watch for data drift, biases, or any unintended consequences. Monitoring provides the continuous checks and alerts that keep the system aligned with goals, regulatory requirements, and ethical expectations, and it informs timely maintenance, retraining, or interventions when issues arise.

Deployment refers to putting the system into production, not the ongoing activity after it’s live. Retirement is the process of decommissioning or phasing out a system. Problem definition covers the initial scoping of what the system is intended to do, not how you supervise it after it’s in operation.