The explainability
Example: Explainability helps users understand how models make predictions
Definition
"Explainability" refers to the quality or characteristic of a model or system, especially in data and AI, that allows users to understand how decisions or predictions are made, making complex processes more transparent and interpretable.
Etymology
The word "explainability" is derived from the verb "explain" combined with the suffix "-ability," which denotes the capacity or quality of something. It emerged with the rise of AI and data science to describe the need for models to be understandable by humans.
Learn to use this word actively
"The explainability" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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