The PRIMARY objective of machine learning (ML) in data processing is to:
A.
Analyze data sets to identify visual patterns and trends.
B.
Enhance the explainability of AI model outputs.
C.
Perform actions that would typically require human intelligence.
D.
Draw statistical inferences for creating artificial human intelligence.
The Answer Is:
C
This question includes an explanation.
Explanation:
The AAIA™ Study Guide defines the core purpose of machine learning as the ability to enable systems to learn from data and make decisions or perform tasks that typically require human cognitive functions. ML allows AI systems to identify patterns, learn from historical data, and automate complex decision-making.
“Machine learning empowers systems to simulate aspects of human intelligence, including pattern recognition, language understanding, and decision-making. It forms the backbone of many AI applications designed to replace or augment human tasks.”
While visual analysis (A) and statistical inference (D) are functions of ML, they are subsets—not primary goals. Explainability (B) is important but is not a core ML function. Thus, C best represents the primary objective.
[Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: “AI Fundamentals and Technologies,” Subsection: “Machine Learning Basics and Objectives”, ]
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