Monitor: statements 37 - 39
The monitor stage of the AI lifecycle includes operating and maintaining the AI system. Monitoring is critical to ensuring the reliability, availability, performance, security, safety, and compliance of an AI system after it is deployed.
Monitoring AI systems is critical because changes in the operating environment and inputs could result to degradation and potential harms. Effective monitoring includes continuous performance evaluation, anomaly detection, intervention, and proactive incident response.
The measures implemented at this stage helps identify if a system is generating outputs that misalign with its intended purpose and promptly remedy issues.