According to the AI Governance Framework, what is the first step in managing AI systems?

Identifying all the systems being used is indeed the foundational step in managing AI systems according to the AI Governance Framework. This initial identification allows organizations to gain a comprehensive understanding of the AI landscape within their operations. By knowing which systems are in place, their functions, and how they interact with other processes, organizations can effectively assess risks, plan mitigations, and implement management strategies tailored to their specific context.

Without this critical step of identification, any subsequent actions—like evaluating risks or planning mitigations—might not be effective, as they would lack the necessary context regarding the systems involved. Successful governance of AI starts with a clear and thorough inventory of all AI systems to ensure that all relevant factors are considered in the management process. This foundational understanding is vital for responsible AI governance and for addressing ethical considerations, compliance, and operational impacts effectively.