The last decade has seen a dramatic increase in the capture of digital material for machine learning production. Kate Crawford, author of “Atlas AI: Power, Politics and Planetary Costs of Artificial Intelligence,” is a leading international scholar of the social and political implications of artificial intelligence. In two new programs, Crawford explores the ways training data can limit how machine learning systems interpret the world, and what forms of power certain training approaches enhance and enable. Crawford shares new work that reflects on what’s at stake in the architecture and contents of training sets, and discusses the intersection of art, activism, and artificial intelligence. 

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A Discussion on Artificial Intelligence with Kate Crawford

Excavating “Ground Truth” in AI: Epistemologies and Politics in Training Data with Kate Crawford