Gender bias in AI is not uniform; when combined with other factors like ethnicity or socioeconomic status, the bias can be compounded. Intersectionality helps reveal these layers, showing that a Black woman might face more severe misclassification or exclusion in AI systems than a white woman, helping designers prioritize fairness across multiple dimensions.
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