Isaca ISACA Advanced in AI Security Management (AAISM) Exam AAISM Question # 33 Topic 4 Discussion
AAISM Exam Topic 4 Question 33 Discussion:
Question #: 33
Topic #: 4
Which of the following should be the PRIMARY objective of implementing differential privacy techniques in AI models leveraging fraud detection systems?
A.
Enhancing the accuracy of predictions to desired levels
B.
Increasing model training speed for an efficient launch
C.
Protecting individual data contributions while allowing statistical analysis
D.
Reducing computational resources required for the model training phase
Differential privacy aims to protect the privacy of any single individual’s data contribution while still enabling useful aggregate learning and statistical analysis. Noise mechanisms are calibrated so that results remain informative for modeling (e.g., fraud patterns) without revealing whether any particular person’s data was included or enabling inference about them. Accuracy, speed, and compute efficiency can be secondary considerations, but the primary objective is privacy protection with utility preserved.
[References: AI Security Management™ (AAISM) Body of Knowledge: Privacy-Preserving ML; Differential Privacy Objectives and Mechanisms. AAISM Study Guide: Individual Contribution Protection; Utility-Privacy Trade-offs and Calibration in Applied Models., ]
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