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EPISODE · Dec 15, 2023 · 1H 12M

The transformative potential of AI in academia

from Berkeley Talks

In Berkeley Talks episode 186, a panel of UC Berkeley scholars from the College of Letters and Science discusses the transformative potential of artificial intelligence in academia — and the questions and challenges it requires universities and other social institutions to confront. "When it comes to human-specific problems, we often want fair, equitable, unbiased answers," said Keanan Joyner, an assistant professor of psychology. "But the data that we feed into the training set often is not that. And so, we are asking AI to produce something that it was never trained on, and that can be very problematic. We have to think very carefully about how we're training our AI models and whether they'll be useful or not. I think there's so many awesome uses of AI, and I'm going to use it in my own work, and it's going to definitely infuse psychological science and social sciences more broadly." Panelists of the October 2023 Berkeley event included:Alex Saum-Pascual, associate professor of contemporary Spanish literatureKeanan Joyner, assistant professor of psychologyJosh Bloom, professor of astronomyModerated by Marion Fourcade, professor of sociology and director of the Social Science MatrixThis discussion is part of the L&S Salon Series, which showcases the diversity and range of academic disciplines embedded across the five divisions in the College of Letters and Science.Listen to the episode and read the transcript on Berkeley News (news.berkeley.edu). UC Berkeley photo by Brandon Sánchez Mejia.Music by Blue Dot Sessions. Hosted on Acast. See acast.com/privacy for more information.

In Berkeley Talks episode 186, a panel of UC Berkeley scholars from the College of Letters and Science discusses the transformative potential of artificial intelligence in academia — and the questions and challenges it requires universities and other social institutions to confront. "When it comes to human-specific problems, we often want fair, equitable, unbiased answers," said Keanan Joyner, an assistant professor of psychology. "But the data that we feed into the training set often is not that. And so, we are asking AI to produce something that it was never trained on, and that can be very problematic. We have to think very carefully about how we're training our AI models and whether they'll be useful or not. I think there's so many awesome uses of AI, and I'm going to use it in my own work, and it's going to definitely infuse psychological science and social sciences more broadly." Panelists of the October 2023 Berkeley event included:Alex Saum-Pascual, associate professor of contemporary Spanish literatureKeanan Joyner, assistant professor of psychologyJosh Bloom, professor of astronomyModerated by Marion Fourcade, professor of sociology and director of the Social Science MatrixThis discussion is part of the L&S Salon Series, which showcases the diversity and range of academic disciplines embedded across the five divisions in the College of Letters and Science.Listen to the episode and read the transcript on Berkeley News (news.berkeley.edu). UC Berkeley photo by Brandon Sánchez Mejia.Music by Blue Dot Sessions. Hosted on Acast. See acast.com/privacy for more information.

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This episode is 1 hour and 12 minutes long.

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This episode was published on December 15, 2023.

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In Berkeley Talks episode 186, a panel of UC Berkeley scholars from the College of Letters and Science discusses the transformative potential of artificial intelligence in academia — and the questions and challenges it requires universities and...

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