The Mirage of AI_lienation

This paper examines the paradoxical relationship between humans and artificial intelligence through the lens of "AI-lienation"—a term capturing our tendency to experience AI systems as fundamentally alien despite their origins in human informational practices. Drawing on empirical evidence from psychological studies and human-AI interaction research, we demonstrate how this perspective stems from a fundamental attribution error: projecting qualities of "otherness" onto systems that represent extensions of our own informational activities. Through the Dissipative Representations (DiRe) framework, grounded in information theory and analytical idealism, we dissolve the false dichotomy between "natural" human intelligence and "artificial" computational systems, revealing both as patterns within the same informational field. Our methodology integrates psychological analysis with historical technological transitions and contemporary interaction studies to identify the ontological continuity underlying diverse manifestations of intelligence. By reconceptualizing the human-AI relationship through this non-dualistic lens, we propose practical implications for technological development, education, and cultural representation that foster more integrative human-AI interactions. This framework offers an epistemically economical alternative to dualistic models that have dominated both academic discourse and popular narratives about artificial intelligence.