What does the post-market monitoring system for high-risk AI systems track?

The post-market monitoring system for high-risk AI systems is designed to track the performance of the AI after it has been deployed and sold. This ongoing assessment is crucial for ensuring that the AI continues to operate safely, effectively, and in compliance with regulations over its lifecycle. By monitoring performance, stakeholders can identify any potential issues that may arise once the system is in real-world use, which allows for timely updates or interventions if necessary.

Post-market monitoring goes beyond the initial performance evaluation conducted during the development and pre-market phases. It encompasses continuous data collection and analysis of how the AI performs in various scenarios, thus ensuring that it remains reliable and does not produce unintended outcomes. This proactive approach helps maintain trust in AI technologies and addresses safety concerns for high-risk applications, emphasizing the importance of accountability in AI deployment.

While gathering feedback from end-users and evaluating marketing impact are valuable, they do not capture the comprehensive performance metrics and operational effectiveness that post-market monitoring focuses on. Similarly, monitoring training methods pertains more to the development phase rather than the real-world performance of the AI after it has been released.