Harvard Thinking: Preserving learning in the age of AI shortcuts
Generative AI tools are here to stay. There’s a debate around whether or not they should be embraced in spaces of learning. Recent reports suggest that the risks of using these tools might outweigh the benefits, threatening cognitive development by doing the thinking for their users. This is forcing educators into a dilemma: how do they make the most of AI’s potential, while also protecting students’ ability to think for themselves? In this episode, host Samantha Laine Perfas talks with cognitive scientist Tina Grotzer, applied mathematics professor Michael Brenner, and educator Ying Xu about how to use AI tools to enhance learning, rather than replace it.

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Harvard Professor Explains The Rules of Writing — Steven Pinker

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How to Build a Remarkable Brand in the Age of AI | Seth Godin

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Harvard’s Exercise Professor Debunks The Biggest Exercise Myths | Prof. Daniel Lieberman

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Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math

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Harvard Thinking: How does memory work (and not work)?

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AI & Education: Generative AI & the Future of Critical Thinking

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Harvard Thinking: Breaking the regret cycle

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AI Has A Hidden Debt Problem

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The AI Skills Nobody is Teaching (And Everyone Needs) | AI Expert Ethan Mollick

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Where Can Our Hunger for Discovery Take Us? | Sir Ken Robinson | Google Zeitgeist

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A Nobel Laureate's Honest Review Of AI In Biology

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AI and the future of human learning | School's In Podcast

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Harvard Thinking: The things we carry

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How to Stop AI from Killing Your Critical Thinking | Advait Sarkar | TED

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Harvard Academic Shares Exciting New Research After Testing 50,000 Brains - Wynford Dore

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