Phenomenology, Cognition, and Artificial Intelligence

This volume critically examines the convergence of phenomenology and artificial intelligence (AI), with particular focus on large language models (LLMs). Drawing from Edmund Husserl's philosophical legacy and expanded through engagements with contemporary AI theory, it explores how AI systems function not merely as computational tools but as cultural artifacts reshaping human cognition, communication, and identity. The volume features original contributions from philosophers, cognitive scientists, and AI ethicists that address the following questions: What does it mean to align artificial cognition with human values? How do LLMs leverage the structure of human experience? And can machines model unconscious processes? The contributions situate AI as a historical and cultural inflection point in human meaning-making, urging us to rethink both human and machine minds. Rather than reducing cognition to computation, the contributors provide interdisciplinary perspectives on consciousness, embodiment, and the ethical and cultural implications of AI’s emergence. Throughout, they how phenomenology offers unique insights into the nature of artificial cognition and its relationship to human experience. Phenomenology, Cognition, and Artificial Intelligence is essential reading for researchers and graduate students working in philosophy of mind, philosophy of psychology, phenomenology, and the philosophy of artificial intelligence.