What is it about?
There are increasing attempts to address the "intersectionality" of racial, gender, and other biases in AI, instead of tackling each bias separately. What does it mean, then, to make AI intersectionally fair? This paper analyzes the dominant interpretation of "intersectional fairness" in recent studies and examines three fundamental problems with it.
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This page is a summary of: Are “Intersectionally Fair” AI Algorithms Really Fair to Women of Color? A Philosophical Analysis, June 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3531146.3533114.
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