727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini
Super Data Science: ML & AI Podcast with Jon Krohn
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Facial Recognition Disparities and Intersectional Bias in AI
The chapter explores disparities in facial recognition technologies among different demographic groups and the potential harm caused by biased algorithms. It emphasizes the need for diverse and representative datasets to avoid biases and discusses how discrimination can occur at the intersections of race and gender. The chapter also covers responses from companies like IBM and Microsoft to revelations of gender and racial biases in their AI systems.
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Transcript
