Unit 5: Post-Market Monitoring Plans – Keeping AI on Track After Deployment
AI monitoring isn’t just for crashes or bugs. Watch for:
Performance Metrics: Accuracy, drift, false positives/negatives
User Impact: Overrides, complaints, unexpected behavior
System Changes: Model updates, retraining, or new data sources
Governance Flags: Risk reclassification, new laws, data concerns
📌 High-risk systems or sensitive use cases should be monitored more frequently.
