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Me, Myself, and AI

Me, Myself, and AI

De : MIT Sloan Management Review
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 Discover what separates AI success from AI hype. In this series from MIT Sloan Management Review, AI winners share their secrets and success stories from the front lines. Explore the future of artificial intelligence with leaders from companies like YouTube, Cisco, and Hugging Face who are turning AI's potential into measurable business value.858384 Economie
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    Épisodes
    • Connecting Language and (Artificial) Intelligence: Princeton’s Tom Griffiths

      Connecting Language and (Artificial) Intelligence: Princeton’s Tom Griffiths
      Jan 20 2026
      In this bonus episode, Princeton University professor and artificial intelligence researcher Tom Griffiths joins Sam to unpack The Laws of Thought, his new book exploring how math has been used for centuries to understand how minds — human and machine — actually work. Tom walks through three main frameworks shaping intelligence today — rules and symbols, neural networks, and probability — and he explains why modern AI only makes sense when you see how those pieces fit together. The conversation connects cognitive science, large language models, and the limits of human versus machine intelligence. Along the way, Tom and Sam dig into language, learning, and what humans still do better — like judgment, curation, and metacognition. Read the episode transcript here. *Please take our listener survey: ⁠mitsmr.com/podcastsurvey⁠ It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI." Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
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      43 min
    • Hungry for Learning: Wendy’s Will Croushorn

      Hungry for Learning: Wendy’s Will Croushorn
      Dec 16 2025
      On today’s episode, Wendy’s product manager Will Croushorn joins Sam to share how FreshAi, the fast-food restaurant’s voice-based AI ordering system, is reinventing the drive-through experience for millions of customers. From handling 200 billion ways to order a Dave’s Double burger to making fast food more accessible for guests in multiple languages, Will reveals how empathy and innovation will positively impact the future of convenience. Learn how his team turns speech data into insight, builds trust in automation, and can even hide a few Easter eggs in your next order. Read the episode transcript here. That's a wrap on Season 12! We'll back in January with a bonus episode. *Please take our listener survey: mitsmr.com/podcastsurvey It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI." Guest bio: Will Croushorn is a product leader at Wendy’s and cocreator of its drive-through voice agent, FreshAi, which handles more than 150,000 orders each day across hundreds of stores throughout the U.S. Recognized by Fast Company as one of the “Next Big Things in Tech,” the artificial intelligence platform shows that AI can deliver measurable impact at enterprise scale. Croushorn’s career has been shaped by relentless curiosity: He started a school in northern Iraq, became fluent in Behdini Kurdish, and now advances vision and multimodal AI serve customers in entirely new ways. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
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      32 min
    • Science, Innovation, and Economic Growth: OpenAI’s Ronnie Chatterji

      Science, Innovation, and Economic Growth: OpenAI’s Ronnie Chatterji
      Dec 8 2025
      On this episode, OpenAI’s chief economist Ronnie Chatterji describes how artificial intelligence is reshaping both the economy and scientific innovation. Ronnie discusses the dual economic impacts of AI — the near-term boost from infrastructure investments like chips and data centers, and the longer-term productivity gains as AI tools integrate into enterprises and consumer life. Beyond consumer convenience, he notes, the key question for economists and corporate leaders alike is when — and how — AI will unlock sustained economic value inside organizations. Tune in for Ronnie's perspective on how AI can help researchers test ideas faster, combine insights across disciplines, and make better choices about which problems to pursue. Read the episode transcript here. Guest bio: Aaron (Ronnie) Chatterji is OpenAI’s first chief economist. He is also the Mark Burgess & Lisa Benson-Burgess Distinguished Professor at Duke University. He served in the Biden administration to implement the CHIPS and Sciences Act and was acting deputy director of the National Economic Council. Before that, he was chief economist at the Department of Commerce and a senior economist at the White House Council of Economic Advisers. He also previously taught at Harvard Business School, worked at Goldman Sachs, and was a term member of the Council on Foreign Relations. Chatterji is on leave as a research associate at the National Bureau of Economic Research. He holds a Ph.D. from University of California, Berkeley and a B.A. in economics from Cornell University. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
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      30 min
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