Le biais
Example: Le biais dans les données peut fausser les résultats de l'IA.
Definition
"Le biais" in data and AI refers to a systematic error or prejudice in data that can lead to inaccurate or unfair outcomes. It occurs when certain elements in data influence the results, potentially distorting the performance and fairness of AI systems.
Etymology
The term "le biais" comes from French, where it originally means 'slant' or 'oblique direction.' In the context of data and AI, it metaphorically describes a deviation or slant in information that affects results. Did you know? The word traces back to Old French, where it described a diagonal or indirect way.
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"Le biais" appears in the Vocaplus list "French - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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