Machine learning is a subset of AI in which systems learn: A team debates whether their new tool should be

Machine learning is a subset of AI in which systems learn from data rather than only following fixed rules.

The question

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1. Machine learning is a subset of AI in which systems learn patterns from data rather than following only fixed rules ✓

   Correct: machine learning is a subset of AI where systems learn from data instead of relying solely on hand-coded rules.
2. Machine learning and AI are unrelated fields, since machine learning is purely statistics while AI is purely robotics work

   Plausible but wrong: the fields are related, with machine learning being a subset of AI, not an unrelated discipline.
3. AI is a subset of machine learning, since every AI system is trained via supervised learning on labeled data

   Plausible but wrong: this inverts the relationship; not all AI is learned, let alone supervised on labels.
4. The two terms are fully interchangeable, so any system labeled AI must by definition use machine-learning methods

   Plausible but wrong: AI includes non-learning approaches such as rule-based systems, so the terms are not identical.

How to remember it

Machine learning is a subset of AI in which systems learn from data rather than only following fixed rules.

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