AI, Movable Type, & Federated Learning, with Blaise Aguera y Arcas
Jan 19, 2022•1 hr 6 min
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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.
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