Gender and Phenotypic Bias
Joy discusses her exploration of facial recognition technologies, revealing significant gender and phenotypic biases in these systems. Her research highlights how male-labeled faces are more accurately recognized than female ones, and delves into the limitations of the Fitzpatrick skin type classification, which inadequately represents diverse skin tones. The conversation uncovers the broader implications of these biases in healthcare and societal perceptions.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
727: Unmasking A.I. Injustice — with Dr. Joy Buolamwini
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