Question 39
IIn an enterprise context, which statement best captures the relationship between Artificial Intelligence (AI) and Machine Learning (ML)?
Correct answer: B
Explanation
AI is the broader field focused on systems that “exhibit intelligent behavior,” while ML is a subset of methods used to build those systems. The study guide’s emphasis on AI systems and governance supports this hierarchy: ML is one technique within AI, not the whole field.
Why each option is right or wrong
A. ML is a set of business rules, while AI is any software that uses data.
ML uses algorithms and data; business rules are explicit logic, not machine learning.
B. AI is a broad goal of creating systems that exhibit intelligent behavior, and ML is one family of techniques used to achieve that behavior.
The exam is testing the taxonomy of AI versus ML: under the AIGP study guide, AI refers to the wider discipline of building systems that exhibit intelligent behavior, while ML is one set of methods within that discipline used to produce those behaviors. In enterprise governance terms, that hierarchy matters because an AI program can include rule-based systems, optimization, and other techniques in addition to ML, so treating ML as the whole field would be too narrow.
C. AI refers only to systems that pass the Turing Test, and ML refers to all other automated systems.
AI is not limited to passing the Turing Test; it covers broader intelligent behavior.
D. ML and AI are interchangeable terms and mean the same thing.
ML is a subset of AI, so the terms are related but not interchangeable.