Intersectionality helps AI developers recognize that individuals hold multiple, overlapping identities (e.g., race, gender, class) that impact their experiences. By incorporating intersectional frameworks, AI models can better reflect the nuanced realities of diverse user groups and reduce one-dimensional biases.
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