Generative AI is changing how we think, learn, and create. Join the conversation with Paolo Granata, an award-winning educator and media scholar, on what this shift means for knowledge and creativity.
What does it mean to know in a knowledge economy shaped by artificial intelligence?
Generative Knowledge: Think, Learn, Create with AI explores how AI is redefining how we know, and especially how knowledge itself is created, shared, and applied. Paolo Granata presents a compelling conceptual framework of Generative Knowledge: a dynamic and socially embedded form of knowing that expands through iterative, collaborative, and tool-mediated processes, showing how human-AI collaboration can unlock creative potential.
Drawing from a rich intellectual tradition that spans media theory, epistemology, and cognitive science, Generative Knowledge invites readers to rethink what it means to know, not in spite of AI, but in partnership with it. The book is structured around six foundational principles: iteration, instrumentality, sociality, inquiry, learnability, and creativity. Together, these principles develop new forms of critical thinking for the AI age and offer a model for epistemic engagement, with AI as a cognitive partner in generating new knowledge.
Speaker
Paolo Granata is a Professor of Book and Media Studies at the University of Toronto’s St. Michael’s College and a Faculty Affiliate at the Schwartz Reisman Institute for Technology and Society. An award-winning educator and internationally recognized media scholar, his work spans media ecology, semiotics, and philosophy of technology. He is the founder and director of the Media Ethics Lab and has held academic positions in Italy, Canada, Brazil, and China.
His latest book, Generative Knowledge: Think, Learn, Create with AI (Wiley, 2026), is essential reading for educators, students, researchers, and professionals seeking a deeper understanding of AI’s impact on intellectual life, along with a practical roadmap for navigating its implications.
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