HUMAN FACTOR AND ETHICAL RESPONSIBILITY IN ARTIFICIAL INTELLIGENCE-BASED EDUCATIONAL SYSTEMS

Abstract

The rapid development of artificial intelligence (AI) technologies has significantly transformed modern education systems. AI-based educational platforms, adaptive learning environments, and intelligent tutoring systems are increasingly used to enhance teaching effectiveness and personalize learning processes. However, the growing integration of AI into education raises critical philosophical and ethical concerns, particularly regarding the role of human agency and ethical responsibility. This study examines the human factor and ethical responsibility within AI-based educational systems from a philosophical and pedagogical perspective. Using theoretical analysis, comparative analysis, and philosophical inquiry, the research investigates how AI technologies influence teacher–student relationships, academic integrity, decision-making processes, and responsibility in educational environments. The results show that while AI systems improve efficiency and personalization in learning, they cannot replace the ethical judgment, emotional intelligence, and moral responsibility inherent in human educators. The study concludes that sustainable integration of AI in education requires a balanced model where technological innovation is guided by ethical principles and human-centered pedagogical values.