What is one of the key components of effective AI governance after deployment?

Maintaining thorough documentation of AI systems is a key component of effective AI governance after deployment because it ensures transparency, accountability, and traceability of the AI's operations. Good documentation provides insights into how the system was designed, the data it was trained on, and the decisions made during its development and deployment. This information is crucial for understanding the system's behavior, ensuring compliance with regulations, and facilitating audits.

Moreover, thorough documentation aids in the identification of potential biases and risks associated with the AI system, allowing organizations to address these issues proactively. It also supports ongoing maintenance and updates, ensuring that stakeholders can easily refer back to the original design and operational intent of the AI system. This holistic approach to documentation not only enhances the governance framework but also builds trust among stakeholders and users, as they can better understand how AI systems make decisions and operate in real-world scenarios.