Class Disrupted

Diane and Michael sit down with Dr. Tom Lee, acclaimed physician and founder of One Medical and Galileo Health, to explore the parallels between healthcare and education in the age of AI. The conversation dives into how Dr. Lee’s mission to radically transform healthcare systems mirrors similar challenges and opportunities in education, especially around the adoption and integration of AI. They discuss shifting from legacy models to more holistic, technology-enabled frameworks that prioritize both personalized service and systemic change.

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Michael and Diane sit down with Neerav Kingsland, a longtime education leader now at Anthropic, to explore the evolving intersection of artificial intelligence and education. Neerav shares his journey from working in New Orleans’ public school reform to his current role at one of the leading AI companies. The conversation covers the promise of AI tutors and teacher support tools, the key role of application “wrappers” for safe and effective student interaction with AI, and the need for humility and caution, especially with young learners. The episode also delves into the broader societal impacts of AI, the future evolution of schools, and the increasing importance of experimentation and risk-taking for students navigating an uncertain, tech-driven landscape.

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Class Disrupted is back for season 7! In this kickoff episode, Diane Tavenner and Michael Horn reconnected after the summer to reflect on how artificial intelligence is shaping the education landscape. They discussed lingering skepticism about AI’s current use in schools and shared their evolving feelings about the technology. The hosts described their plans for the new season, which starts with a broad look at AI’s development both inside and beyond education, before narrowing in on entrepreneurs and real-world applications that could reinvent learning.

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In this end-of-season episode, Michael and Diane come together in person to reflect on the arc of their AI-focused sixth season. They discuss key themes and takeaways, including the enduring importance of foundational knowledge, skepticism around the speed and impact of AI-driven change within traditional schools, and how transformative innovation is more likely to emerge from new educational models outside the mainstream. Their conversation explores the challenges and opportunities AI brings, particularly in developing curiosity as a critical habit for learners, and revisits how their own perspectives shifted throughout the season.

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Diane and Michael talk through what they’ve learned from their recent miniseries on AI in education. They discuss how AI offers unprecedented access to expertise, but also highlight concerns about its effectiveness for young learners. Throughout, Diane and Michael grapple with skepticism, optimism, and the practical challenges of embedding AI in educational systems, all while looking ahead to what meaningful, student-centered innovation could look like.

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In this episode of Class Disrupted, hosts Michael Horn and Diane Tavenner chat with Rebecca Winthrop, a senior fellow and director at the Brookings Institution, about the impact of AI on education. The conversation kicks off by highlighting Rebecca’s idea of a premortem approach, which involves anticipating the negative impacts of AI before they occur and strategizing ways to mitigate these risks. They identify key concerns such as cognitive offloading, manipulation, and the effects on socialization and consider how this technology might catalyze a rethinking of the purpose of education.

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In this episode, Diane Tavenner and Michael Horn delve into the role of AI in writing education with Jane Rosenzweig, director of the Harvard College Writing Center. Jane underscores the importance of writing as a process of thinking and warns against the “deskilling” of students because of an overreliance on AI. The conversation explores how AI may aid resource shortages in education, while also pondering if AI’s efficiency overshadows the importance of deep learning and authentic writing skills.

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On this episode, Diane and Michael welcome guest Julia Freeland Fisher, a distinguished researcher from the Clayton Christensen Institute, whose work delves into the intersection of AI and education. The conversation explores the potential and challenges AI presents in the educational landscape. Julia shares her insights on the importance of using AI to enhance personalized learning experiences and facilitate real-world connections for students. She also voices her concerns about AI’s impact on human connection, emphasizing the risk of AI replacing genuine interpersonal relationships.

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In this episode of Class Disrupted, Michael and Diane chat with Siya Raj Purohit, who works on education initiatives at OpenAI, about the transformative potential of AI in education. Siya shares her career journey and how it led her to focus on bridging the gap between education and workforce development. Highlighting the immense value of AI tools like ChatGPT, particularly in university settings, she underscores its potential to personalize learning, reduce teacher burnout, and enhance classroom interactions. Siya also addresses concerns around AI by emphasizing that while AI can elevate thinking and productivity, the irreplaceable human element in teaching—such as mentorship and personal inspiration—remains vital.

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Techno-optimists have high hopes for how AI will improve learning. But what’s the merit of the “bull case”, and what are the technology’s risks? To think through those questions, Michael and Diane sit down with Ben Riley of Cognitive Resonance, a “think and do” tank dedicated to improving decisions using cognitive science. They evaluate the cases made for AI, unpack its potential hazards, and discuss how schools can prepare for it.

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