Tailwind Traders is drafting an AI policy template that each product team must complete before going to production. The template needs one mandatory…

An "AI use register" (or AI inventory/catalog) is a foundational tool for effective AI governance. It serves as a central repository to document all AI systems within an organization. For each system, it captures critical information such as the business purpose, the designated owners (for accountability), the data used (for privacy and compliance checks), and a risk assessment or rating. This register provides the visibility necessary for governance bodies to prioritize oversight, manage risks, and ensure alignment with organizational policies and Responsible AI principles.

A is incorrect because logging every individual prompt is a micro-level audit activity, not a high-level governance artifact for an AI solution. It is also often impractical and raises significant privacy concerns.

B is incorrect because a marketing slide focuses on potential benefits, not on the structured documentation of ownership, data, and risk required for governance and accountability.

D is incorrect because a catalog of hyperparameters is a highly technical detail relevant to MLOps and model reproducibility, not a strategic governance tool for managing the business and ethical risks of an AI portfolio.

1. Microsoft. (2024). AI transformation framework for the finance industry. In the "Govern" section, it recommends establishing an "AI use case inventory" as a key governance practice. "Create an AI use case inventory to track and manage all AI initiatives across the organization. This inventory should include details such as the use case description, business owner, data sources, models used, and risk assessment." (Section: "Govern," Subsection: "Establish an AI governance framework").

2. Microsoft Learn. (2024). Get started with Microsoft Purview. Microsoft Purview is a unified data governance solution. While not exclusively for AI, its principles of creating a data map, cataloging assets, and assigning ownership are directly applicable to the concept of an AI use register. The documentation states its purpose is to "Create a unified map of your data assets and their relationships for more effective data governance." This is the same principle applied to AI use cases. (Module: "Introduction to Microsoft Purview").

3. Deloitte. (2023). AI Governance: A framework for building trust and accountability in AI. This industry framework highlights the importance of an "AI inventory." It states, "A comprehensive AI inventory is a foundational element of AI governance. It provides a single source of truth for all AI models and systems in use across the organization... The inventory should capture key metadata, such as model owner, purpose, data sources, and risk tier." (Section: "AI Governance Framework Components," Subsection: "AI Inventory and Risk Tiering").