What should organizations maintain to effectively monitor AI systems post-deployment?

Maintaining an inventory of AI systems with risk scores is essential for organizations to effectively monitor their AI systems after deployment. This practice allows organizations to have a clear and organized overview of their AI assets, which can be critical for several reasons.

Firstly, by having an inventory, organizations can identify which AI systems are in operation, understand their functions, and assess their potential impact on the business and consumers. The inclusion of risk scores helps in determining which systems pose higher risks, either due to their complexity, the sensitivity of data they handle, or their operational context. This enables proactive risk management by focusing resources on monitoring and mitigating risks associated with the most critical systems.

Moreover, an updated inventory with risk assessments aids in compliance with regulatory requirements, as well as internal policies regarding ethical AI use. It supports transparency and accountability, allowing for better governance of AI technologies.

While logs of employee interactions, budget overviews, and registers of data sources are important aspects of AI project management, they do not provide the holistic view required specifically for monitoring AI systems in terms of operational integrity, risk management, and compliance. An inventory with associated risk scores is the most comprehensive approach for ongoing oversight and governance in the rapidly evolving landscape of AI.