Artificial Intelligence in Education: Ethical Considerations and Insights from Ancient Greek Philosophy

AI in education offers real benefits but requires ethical guardrails: The paper identifies concrete opportunities like personalized learning, efficient assessment, and data-driven decision-making, while simultaneously highlighting critical concerns around data privacy, algorithmic bias, student autonomy, and educator roles that must be addressed during implementation.

Ancient philosophy provides practical guidance for modern AI ethics: By drawing on principles from Socrates, Aristotle, and Plato, the research demonstrates that classical philosophical thought can inform how we ethically implement AI in schools—suggesting that timeless wisdom about learning and human development remains relevant to contemporary technological challenges.

Teachers must evolve from instructors to facilitators in AI-rich classrooms: The paper emphasizes that as AI handles routine assessment and personalization tasks, educators' roles should shift toward guiding student initiative and critical thinking rather than being replaced by automated systems, preserving the human element essential to education.

Student autonomy and agency must be protected in AI-driven learning: The research identifies student autonomy as a key ethical concern, implying that AI systems should enhance rather than diminish students' ability to make choices about their own learning and development.

A balanced approach is necessary, not wholesale adoption or rejection: Rather than viewing AI in education as either a solution or a threat, the paper argues for thoughtful integration that weighs both opportunities and drawbacks, guided by ethical principles rather than technological capability alone.