AAISM · Question #3
Which of the following is the MOST important course of action when implementing continuous monitoring and reporting for AI-based systems?
The correct answer is C. Implement real-time monitoring of key risk indicators (KRIs) for AI systems. The AAISM governance framework specifies that the foundation of continuous monitoring is real- time tracking of key risk indicators. This ensures immediate detection of deviations, model drift, and operational anomalies. Automated alerts, dashboards, and reporting templates all s
Question
Which of the following is the MOST important course of action when implementing continuous monitoring and reporting for AI-based systems?
Options
- AEstablish an automated alert system for threshold breaches in risk metrics
- BDevelop standardized risk reporting templates for different stakeholder groups
- CImplement real-time monitoring of key risk indicators (KRIs) for AI systems
- DImplement a risk dashboard for visualizing and tracking AI-related risk over time
How the community answered
(36 responses)- A8% (3)
- B3% (1)
- C72% (26)
- D17% (6)
Explanation
The AAISM governance framework specifies that the foundation of continuous monitoring is real- time tracking of key risk indicators. This ensures immediate detection of deviations, model drift, and operational anomalies. Automated alerts, dashboards, and reporting templates all support monitoring, but they rely on the presence of accurate, real-time KRI measurement as their source. Without live monitoring, the other controls are reactive rather than proactive. The most important course of action in establishing effective continuous monitoring is therefore real-time
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