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AI, Movable Type, & Federated Learning, with Blaise Aguera y Arcas

AI, Movable Type, & Federated Learning, with Blaise Aguera y Arcas

FromCarnegie Council Podcasts


AI, Movable Type, & Federated Learning, with Blaise Aguera y Arcas

FromCarnegie Council Podcasts

ratings:
Length:
66 minutes
Released:
Jan 19, 2022
Format:
Podcast episode

Description

Are we reaching for the wrong metaphors and narratives in our eagerness to govern AI? In this Artificial Intelligence & Equality podcast, Carnegie Council Senior Fellow Anja Kaspersen is joined by Google Research’s Blaise Aguera y Arcas. In a talk that spans from Gutenberg to federated learning models to what we can learn from nuclear research, they discuss what we need to be mindful of when discussing and engaging with future applications of machine intelligence.  For more on this podcast, please go to carnegiecouncil.org.  For more on the Artificial Intelligence & Equality Initiative (AIEI), please go to carnegieaie.org.
Released:
Jan 19, 2022
Format:
Podcast episode

Titles in the series (100)

Listen to events at Carnegie Council for Ethics in International Affairs. Speakers and interviewees include distinguished authors, government and UN officials, economists, and policymakers. Topics range from the ethics of war and peace, to religion in politics, to issues at the forefront of global social justice. To learn more, visit our website at http://www.carnegiecouncil.org.