Which of the following best describes the purpose of post-market monitoring systems for AI?

Post-market monitoring systems for AI are essential tools designed to evaluate the performance and adherence of AI systems to regulatory and ethical standards after they have been deployed in the real world. This process is crucial for ensuring that AI technologies function as intended and do not cause unintended harm or bias.

The focus on tracking performance involves assessing the AI's effectiveness, accuracy, and reliability in various applications over time. Compliance monitoring ensures that the AI continues to meet legal and ethical guidelines, adapting to any changes in regulations or user expectations. Through systematic tracking, organizations can identify issues early, make necessary adjustments, and provide transparency to stakeholders about how the AI system is functioning.

This continuous oversight helps manage risks associated with AI deployment and promotes public trust in these technologies. By establishing a robust framework for evaluating their impact, post-market monitoring systems play a key role in advancing responsible AI governance.