Navigating AI in Education: Insights from MIT

School's Out Saturdays on the AGI Podcast - Because our job is to prepare students for their future not our past. (Episode 59)

Episode Summary:MIT PhD candidate BreAnne Fleer brings a political scientist's lens to AI in education. We dig into why curious skepticism beats blind adoption, what the Luddites actually opposed, and why coding literacy matters more than you think for K-12 students.

About My GuestBreAnne Fleer is PhD Candidate at MIT Department of Political Science | Fourth-year studying Comparative Politics and Methods | Graduate affiliate of MIT's Global Diversity Lab and Harvard's Center for European Studies. Located in Massachusetts. BreAnne researches historical political economy and national separatist movements while engaging with AI's role in academia and education.

Guest LinksBreAnne on LinkedIn: https://www.linkedin.com/in/bkfleer/Massachusetts Institute of Technology: https://web.mit.edu/

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Key Timestamps:00:00 - Introduction to AI and Education02:46 - How AI shows up in MIT academic discussions05:39 - Why K-12 schools need AI literacy now08:46 - Ethics and AI surveillance in education11:46 - What the Luddites actually opposed (and why it matters)14:42 - Cultural attitudes toward technology across countries17:48 - Understanding AI as a tool with real limitations20:27 - Why coding education matters for future jobs23:28 - The future of AI integration in classrooms34:52 - Data's critical role in making AI work36:34 - Historical patterns of automation resistance38:19 - Future of AI and robotics development41:18 - Navigating AI ethics in complex situations43:29 - Existential threats and economic implications of AI48:42 - Job market navigation in an AI-driven economy57:02 - Advice for students entering the AI era01:02:10 - Sci-fi predictions meeting real technology development

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