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?
Answer(s): B
The most important risk for the auditor to consider is that K-means clustering is significantly sensitive to outliers and dependent on the similarity of units of measure. These factors can distort clustering results, leading to inaccurate groupings and unreliable insights, which is critical in evaluating the reliability of the AI model.
The PRIMARY purpose of utilizing neural networks in AI is to:
Answer(s): A
The primary purpose of utilizing neural networks in AI is to mimic human decision making. Neural networks are designed to model complex patterns and relationships in data, enabling AI systems to make decisions and predictions in a manner similar to human cognitive processes.
Which of the following controls MOST effectively helps to ensure an AI model is resilient against external threats?
Which of the following is the MOST important task when gathering data during the AI system development process?
Answer(s): D
The most important task when gathering data during AI system development is cleaning the data. High-quality, clean data is essential for producing accurate, reliable, and unbiased AI outcomes. Without proper cleaning, even advanced models can produce flawed or misleading results.
The PRIMARY objective of machine learning (ML) in data processing is to:
The primary objective of machine learning in data processing is to perform actions that would typically require human intelligence. ML enables systems to learn from data, identify patterns, and make decisions or predictions with minimal human intervention, closely emulating human cognitive tasks.
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