Four suppliers pitch a public-library hold system: a readable rule engine, a no-show scorer with hand-picked columns, a photo-spine reader that learned its own features, and a model that writes hold-cancellation notices. Which mapping of pitch to AI type is correct?
Select an answer to reveal the explanation.
Short Explanation
Four different tools, four different labels—like sorting mail into four bins, not one. Readable rules are symbolic AI; hand-picked columns plus training are classical ML; self-learned image features are deep learning; writing new notices is GenAI. They are not swap-in synonyms.
Full Explanation
Chapter 1 places symbolic AI, classical ML, deep learning, and generative AI as distinct types. A readable rule engine matches symbolic AI; a scorer that needs chosen features and training matches classical ML; a photo reader that learns its own features matches deep learning; a model that authors cancellation notices matches GenAI. Treating the labels as interchangeable hides the syllabus distinctions testers must recall when evaluating vendor pitches.