Question 25
Domain 2 — AI Operations, Lifecycle, and Control EnvironmentWhat is the MOST important component of an IT change management program for overseeing data transformations in artificial intelligence (AI) systems?
Correct answer: B
Explanation
Change management focuses on controlling and documenting modifications that can affect system performance. In AI systems, data transformations can alter model behavior, so "keeping track of changes in data that influence AI effectiveness" is the key oversight function to preserve accuracy, traceability, and accountability.
Why each option is right or wrong
A. Updating records related to AI data inputs continuously
B. Keeping track of changes in data that influence AI effectiveness
The governing control objective here is traceability of modifications that can alter system outputs, which in AI includes upstream data transformations as well as code changes. Under ISO/IEC 27001:2022 Annex A control 8.32 (Change management), changes must be assessed, approved, and documented before implementation so their impact on operations can be monitored; in an AI context, the data lineage and transformation history are what determine whether model performance remains valid. Without tracking those data changes, the organization cannot evidence why accuracy, bias, or drift changed, making oversight of AI effectiveness impossible.
C. Creating a unified data preprocessing strategy
D. Ensuring data sources remain static over time