Intersectionality provides a framework to analyze how overlapping social identities—such as race, gender, class, and disability—impact individuals’ experiences with AI systems. By embracing this, AI ethics can move beyond one-dimensional approaches to diversity, ensuring that policies and technologies consider the nuanced ways biases manifest for different groups.
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