Câu 76: Isaca Advanced in AI Audit

An IS auditor reviewing documentation for an AI model notes that the modeler utilized a K-means clustering algorithm, which clusters data into categories for correlations and analysis. Which of the following is the MOST important risk for the auditor to consider?

1. A. K-means clustering is not a common data clustering method due to its complexity and difficulty categorizing data correctly.
2. B. K-means clustering algorithms are significantly sensitive to outliers and dependent on the similarity of units of measure. — đáp án hiện tại
3. C. K-means clustering determines the number of clusters for the modeler without supervision.
4. D. K-means clustering requires the modeler to supervise the learning analysis, which can introduce bias.