Taxonomy

A taxonomy is a structured classification system that organizes AI governance concepts, risks, and controls into hierarchical categories so teams can consistently identify and discuss issues using shared definitions. For compliance and risk management, establishing a taxonomy ensures that when a data scientist, lawyer, and auditor talk about model bias or data lineage, they mean the same thing and can map those concerns to the right policies and controls. Without a common taxonomy, governance efforts fragment across departments, leaving gaps in oversight and making it harder to demonstrate to regulators that your organization understands and manages its AI risks systematically.

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