Human Creativity and the Integration of Artificial Intelligence into the Education System

This paper examines the neurological basis of human creativity, the pattern-based limitations of large language models, and the cognitive risks that frequent AI reliance may pose to critical thinking and long-term retention. It investigates how the uneven distribution of AI tools may reinforce educational inequities, how student data privacy remains insufficiently protected, and how AI detection tools carry significant statistical limitations. This paper is a narrative review: it synthesizes existing research rather than reporting original experimental data. Section 4 explains how sources were selected and what the scope of the analysis is. While artificial intelligence is gradually transforming education, its irresponsible and unchecked integration appears to conflict with essential academic integrity policies, legal guidelines, and the foundational principles of authentic learning.