Abstract: The rapid advancement of artificial intelligence (AI) has transformed how individuals access information, construct knowledge, and make decisions, yet its influence on human cognition remains insufficiently theorized. This study advances the AI–Consciousness Reflection Model (AICRM), a conceptual framework that positions AI as a reflective system of human cognition. The model conceptualizes AI-generated outputs as reflections of human-derived data that are interpreted, constructed into meaning, and integrated into cognitive processes through recursive feedback loops. Central to the framework is conscious awareness as a moderating condition that determines whether AI interaction produces cognitive insight or cognitive distortion. Drawing on cognitive psychology, human–computer interaction, and philosophy, the model identifies key mechanisms, including cognitive offloading, automation bias, and cognitive surrender, through which AI reshapes thinking. The framework further argues that AI operates as a dual system, simultaneously enabling knowledge expansion while introducing epistemic risks such as illusion of understanding and diminished intellectual autonomy. The study contributes to theory by reconceptualizing AI as a mediating cognitive system and outlines implications for education, professional practice, and ethical governance in increasingly AI-mediated environments.
Keywords: artificial intelligence; cognition; human–AI interaction; cognitive offloading; automation bias; epistemic risk; reflective systems; decision-making.
Title: The AI–Consciousness Reflection Model (AICRM): How Artificial Intelligence Reflects and Distorts Human Cognition
Author: Dr. David Bull
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 14, Issue 2, April 2026 - June 2026
Page No: 42-56
Research Publish Journals
Website: www.researchpublish.com
Published Date: 09-May-2026
