How deeply does The Art of AI Product Development cover common sense?

Defines contextual inference and adaptation through examples but stops short of explaining computational mechanisms.

Common sense

As explained in The Art of AI Product Development

Common-sense reasoning is the application of ordinary background knowledge and practical assumptions to interpret situations and make judgments.

Common-sense reasoning applies ordinary background knowledge to interpret situations, infer context, grasp nuances, and adapt judgments to unfamiliar or unstructured environments. AI often struggles with this flexibility, making human judgment valuable in human–AI collaboration. section 3.3.2

Practical judgment across contexts

A doctor may intuitively notice a problematic area in an X-ray through accumulated experience. A customer-service representative can respond empathetically to an aggressive customer, while a product team can align new features with company strategy, mission, and vision. section 3.3.2

Common sense helps determine which decisions should remain human-led when AI lacks contextual understanding, nuance, or ethical judgment. section 3.3.2

How The Art of AI Product Development covers it

Cover of The Art of AI Product Development

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Also explained in

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Natural Language Processing in Action, Second EditionCommonsense knowledge is general background knowledge about everyday entities, events, relationships, and expectations.
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Inside AICommon-sense knowledge is informal background knowledge about ordinary situations, entities, and expectations that people typically apply without explicit instruction.
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Knowledge Graphs and LLMs in ActionCommon-sense reasoning is the use of ordinary human background knowledge and intuitive context to draw plausible conclusions.

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Related concepts

decision makingpart of · Decision making is the process of selecting an action, outcome, or judgment from available alternatives based on information, objectives, or constraints.
abstractionuses · Abstraction is a simplified representation that exposes relevant properties or behavior while omitting lower-level details unnecessary for a given purpose.
generationuses · Generation is the computational production of outputs from supplied inputs or context, often by applying a model to produce predictions or new content.
contextuses · Context is the surrounding information, state, or circumstances that condition how an entity, event, or task is interpreted or how a system behaves.
world modeluses · A world model is an internal computational representation of entities, relationships, states, and dynamics in an environment that supports prediction, reasoning, or action.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.