Provides a bold conceptual framework for reimagining knowledge creation in the age of artificial intelligence
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 unlocks creative potential previously unimaginable.
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—developing new forms of critical thinking for the AI age. These principles and the closing portrait of today's “generative thinkers” mirror Granata's conceptual argument and serve as a model for epistemic engagement, with AI as a cognitive partner to generate new knowledge.
Repositioning AI from a mere tool of automation or productivity enhancer to a co-creative partner in intellectual inquiry, Generative Knowledge:
Emphasizes the generative mindset—flexible, collaborative, and forward-thinking—for thriving in an AI-enhanced knowledge economy Reframes AI as an epistemic technology that mediates and reshapes the human pursuit of understanding Provides a transdisciplinary synthesis of media ecology, pragmatist philosophy, cognitive science, and constructionist epistemology for cultivating AI Literacy Introduces a new lexicon and a conceptual framework to help readers navigate emerging epistemic and technological paradigms
Generative Knowledge: Think, Learn, Create with AI is ideal for upper-level undergraduate and graduate students in courses such as AI Literacy, Media Theory, Epistemology, Philosophy of Technology, Educational Technology, and Knowledge Management. It is also a valuable resource for educators, researchers, and professionals working in the knowledge economy and knowledge-driven fields within arts, humanities, and interdisciplinary programs.
