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What AI Means

What AI Means

Written by: AI in the Liberal Arts at Amherst College
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About this listen

 What AI Means is the podcast that asks scholars and creators about the significance of artificial intelligence for the world as they see it, through the lenses of their disciplines and their expertise. These short, accessible conversations are brought to you by Lee Spector, a professor of Computer Science at Amherst College and the Director of AI in the Liberal Arts. Harp Flourish by Nathan Manaker – full credits: https://freesound.org/s/486952/ Deep Church Bell by ZoshP – full credits: https://freesound.org/s/530914/AI in the Liberal Arts at Amherst College
Episodes
  • What AI Means for Philosophy of Mind with Laura Sizer

    What AI Means for Philosophy of Mind with Laura Sizer
    Apr 14 2026

    In this episode, Laura Sizer, Senior Lecturer in Philosophy at Mount Holyoke College, explores how AI acts as “thought experiments made real.” She examines limits of understanding, embodiment, and the Turing Test, arguing AI reflects human thinking but cannot fully replicate it.
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    17 mins
  • What AI Means for Earth Science with Nicholas Holschuh

    What AI Means for Earth Science with Nicholas Holschuh
    Apr 3 2026

    In this episode of What AI Means, Nicholas D. Holschuh explores how AI is transforming Earth science. This conversation highlights how new tools are helping scientists better understand glaciers, climate uncertainty, and the future of our planet.
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    19 mins
  • What AI Means for Sustainability with Auroop Ganguly

    What AI Means for Sustainability with Auroop Ganguly
    Feb 25 2026

    College of Engineering Distinguished Professor of Civil and Environmental Engineering at Northeastern University, and Chief Scientist and Joint Appointee at the U.S. Department of Energy’s Pacific Northwest National Laboratory, Auroop Ganguly considers how AI is reshaping sustainability science, climate risk, and infrastructure resilience and what this means for our collective environmental future.
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    17 mins
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