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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Explainability

Responsible AI / Safety · Level 2 of 5

Explainability

The ability to provide useful accounts of a model's behavior or predictions.

An explanation can be persuasive without being faithful or complete.

Example

A report describes which measured inputs influenced a prediction.

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Audio transcript

Explainability. The ability to provide useful accounts of a model's behavior or predictions. An explanation can be persuasive without being faithful or complete. For example: A report describes which measured inputs influenced a prediction.

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This helps you identify a concrete failure mode or evaluate the limits of a proposed control.

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Put the terminology into context: How AI works · Machine-native representations · All learning paths

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