Which of the following is MOST important to ensure security throughout the AI data life cycle?
A.
Leveraging selected open-source models
B.
Conducting periodic data reviews
C.
Restricting use of data in third-party models
D.
Maintaining a complete inventory with data lineage records
The Answer Is:
D
This question includes an explanation.
Explanation:
AAISM emphasizes data lineage, provenance tracking, and inventory completeness as essential controls to ensure data security and accountability across all AI data life-cycle phases. This enables detection of unauthorized modifications, improper use, and compliance violations.
Periodic reviews (B) are necessary but insufficient without lineage. Restricting third-party use (C) is one control but not comprehensive. Open-source model choice (A) does not secure data.
[References: AAISM Study Guide – AI Data Governance; Lineage and Traceability., =============================================, ]
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