The convergence of artificial intelligence (AI) and knowledge management (KM) marks a profound shift in contemporary organizational and epistemological paradigms. As AI systems evolve from supportive tools to autonomous agents capable of generating, validating, and applying knowledge, the boundaries between human cognition and machine intelligence are being fundamentally redefined. This volume introduces the concept of artificial knowledge—a computationally derived, explicit form of knowledge that lacks the embodied, emotional, and contextual depth of human knowing. Through a multidisciplinary lens, the chapters explore how AI disrupts established KM frameworks, reshapes organizational memory, and raises critical ethical and epistemological questions. The book reflects global collaboration among scholars from diverse academic and cultural backgrounds, offering a plurality of perspectives grounded in scholarly rigor and ethical responsibility. It invites researchers, practitioners, and policymakers to critically engage with the evolving interplay between human and artificial knowledge, and to reconsider its implications for KM theory, practice, and education. Rather than presenting definitive answers, this volume aims to stimulate dialogue and inquiry into the future of knowledge in AI-augmented environments.