Intersectionality in AI
Joy discusses the importance of adopting an intersectional approach in AI development, highlighting the limitations of single-axis analysis in understanding discrimination. She draws from Kimberly's research, illustrating how biases can persist even when diversity metrics appear satisfactory, particularly for individuals at the intersection of race and gender. This conversation emphasizes the need for deeper scrutiny in data analysis to ensure equitable AI systems.In this clip
From this podcast
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727: Unmasking A.I. Injustice — with Dr. Joy Buolamwini
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