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Loops, Ladders and Links: The Recursivity of Social and Machine Learning - Livestream

Machine learning algorithms reshape how people communicate, exchange and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary and intimate aspects. Drawing on this published paper and examples from the field of social media, we will review the commonalities, interactions and contradictions between the dispositions of people and that of machines as they learn from, make sense of, and jointly produce the world.

Speakers: Marion Fourcade, UC Berkeley; Fleur Johns, UNSW, Sydney, Australia

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Monday, 02/22/21


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Berkeley Institute for Data Science

, CA