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Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.This episode is brought to you by Gurobi, the Decision Intelligence Leader,\xa0 and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:\u2022 What coded bias is [06:49]\u2022 The problem with bias in machine learning datasets [18:41]\u2022 The Incoding Movement [42:08]\u2022 About the Pilot Parliaments Benchmark [52:07]\u2022 Ethics and the future of AI [1:20:10]\u2022 The potential for AI to end systemic racism [1:32:59]Additional materials: www.superdatascience.com/727