Topic

Inventory

Inventory in AI governance refers to the systematic cataloging and tracking of all AI systems, models, datasets, and algorithms deployed across an organization. This foundational practice enables enterprises to understand their AI landscape, identify risks, manage versions, and ensure compliance with regulatory requirements and internal policies. A comprehensive inventory is essential for effective governance as it provides visibility into where AI is being used, who owns and maintains each system, and what data flows through them.

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ResearchGlobal2026-06-02

Urban AI Governance Case Studies Reveal a Three-Part Control Stack That Enterprise Compliance Teams Are Still Building Separately

A CIDOB research report compiles comparative case studies of city-level AI governance programs across multiple jurisdictions, highlighting algorithm registers, lifecycle management approaches, mandatory high-risk system audits, and procurement conditions as foundational tools. The report's core finding is that these controls produce the most durable governance outcomes when integrated into a single stack rather than administered as isolated programs. Enterprise compliance teams can draw directly transferable lessons from municipal implementations that are, in several cases, more operationally mature than their private-sector counterparts.

algorithm register procurement governance AI lifecycle audit inventory