Intersectional Bias in AI Influences Social Outcomes

AI systems influence critical decisions related to employment, criminal justice, credit, and healthcare. Intersectionality reveals how gender bias, when combined with race or class, can exacerbate social inequalities reproduced by AI. Understanding this helps stakeholders address systemic injustices propagated by automated systems.

AI systems influence critical decisions related to employment, criminal justice, credit, and healthcare. Intersectionality reveals how gender bias, when combined with race or class, can exacerbate social inequalities reproduced by AI. Understanding this helps stakeholders address systemic injustices propagated by automated systems.

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