How Power Shadows in ML Models Amplify Biases

Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host @JonKrohnLearns 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.

You can watch the full interview, “727: Unmasking A.I. Injustice — with Dr. Joy Buolamwini” here: https://www.superdatascience.com/727

Видео How Power Shadows in ML Models Amplify Biases канала Super Data Science: ML & AI Podcast with Jon Krohn