Many departments are deploying AI applications.
Track purpose, owner, data, and risk.
Choose two inventory fields.
An AI inventory should record owners, purpose, users, data classification, model version, evaluations, approvals, and updates.
Detailed explanation
The record supports audit and change management.
Ownership, purpose, data, and evaluation cannot be traced.
Responsibilities and scope become clear.
Unknown use becomes a governance and security gap.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 5.2のAIガバナンス、台帳、監査を確認する。
Official references
What to confirm
AI資産の責任・用途・評価・更新を記録する理由を説明できる。
Key points
- Owner
- Inventory
- Change management
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
AI asset inventory
A maintained list of AI applications, models, datasets, purposes, owners, versions, and risk.
Accountable owner
The person or team responsible for risk decisions, approvals, operation, and remediation.