Gender Data Disparities
Joy discusses the challenges of achieving gender balance in data sets, particularly when analyzing representation in parliaments worldwide. She highlights the difficulties in labeling skin types consistently and reflects on the overwhelming male dominance in political structures. The conversation also touches on the implications of these findings for companies like IBM and their gender classification APIs.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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