Why We Still Teach the Basics When AI Can Do It All Titelbild

Why We Still Teach the Basics When AI Can Do It All

Why We Still Teach the Basics When AI Can Do It All

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This episode of Deep Learning Dialogues explores the seismic shifts in education and global power triggered by the "step change" in agentic AI. Dr. Mark Daly introduces the "Tower of Abstraction," a metaphor for how technology evolves to hide complexity, and argues that teaching foundational skills like coding and essay writing remains essential, not for the final product, but to build the mental "muscles" required to think and structure logic. The conversation moves from the classroom to the global stage, framing "compute" as a strategic national resource akin to oil or steel and highlighting Canada’s potential as an energy and AI superpower. Ultimately, Daly offers a deeply optimistic vision for the future of K-12 education: as machines automate cognitive labor, the human "value proposition" shifts from being "smart" to being kind, authentic, and connected through the arts and community. You can read the full article summary here.


Dr. Mark Daley is Western University’s first-ever Chief AI Officer and a Scholar in Residence in AI at NSERC. A respected researcher in neural computation, his career includes serving as Vice-President Research at CIFAR, where he helped lead Canada’s national AI strategy. Mark is a remarkably multidisciplinary scholar, holding cross-appointments in departments ranging from Computer Science and Biology to Epidemiology and Biostatistics. A frequent "guiding voice" for educators , he is known for his early clarity on why AI detection is mathematically impossible and for his Substack, Noetic Engines, where he explores the intersection of technology and humanity. Recently trained in international mediation in Paris , Mark combines high-level executive leadership with a deep commitment to helping students find "mattering" and purpose in an automated world.

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