The bias
Example: Bias causes systematic errors affecting fairness of model predictions
Definition
"The bias" in data and AI refers to a systematic error or deviation in data, algorithms, or predictions that leads to unfair or inaccurate outcomes. It can cause models to favor certain groups or results, undermining fairness and objectivity in decision-making processes.
Etymology
The term "bias" originates from the Old French word 'biais,' meaning slant or oblique, which in turn comes from the Medieval Latin 'bisaeus.' Initially used in archery to describe a slanting shot, it evolved to describe any form of slant or prejudice. In data and AI, "the bias" metaphorically represents this slant in information or algorithms.
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"The bias" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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