65 min listen
AI, Movable Type, & Federated Learning, with Blaise Aguera y Arcas
AI, Movable Type, & Federated Learning, with Blaise Aguera y Arcas
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)
The Soul of the First Amendment: In this timely event, Floyd Abrams, a noted lawyer and award-winning legal scholar specializing in First Amendment issues, examines the degree to which American law protects free speech more often, more intensely, and more controversially than is the... by Carnegie Council Podcasts