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

TL;DR

This paper examines the ethical challenges of AI in education, using insights from ancient Greek philosophy to guide responsible implementation and address issues like privacy, bias, and student autonomy.

Contribution

It uniquely combines classical philosophical principles with modern AI educational applications to propose an ethical framework for future integration.

Findings

AI offers personalized learning and data-driven assessment benefits.

Ethical concerns include privacy, bias, and autonomy.

Philosophical insights can guide ethical AI use in education.

Abstract

This paper explores the ethical implications of integrating Artificial Intelligence (AI) in educational settings, from primary schools to universities, while drawing insights from ancient Greek philosophy to address emerging concerns. As AI technologies increasingly influence learning environments, they offer novel opportunities for personalized learning, efficient assessment, and data-driven decision-making. However, these advancements also raise critical ethical questions regarding data privacy, algorithmic bias, student autonomy, and the changing roles of educators. This research examines specific use cases of AI in education, analyzing both their potential benefits and drawbacks. By revisiting the philosophical principles of ancient Greek thinkers such as Socrates, Aristotle, and Plato, we discuss how their writings can guide the ethical implementation of AI in modern education. The paper argues that while AI presents significant challenges, a balanced approach informed by classical philosophical thought can lead to an ethically sound transformation of education. It emphasizes the evolving role of teachers as facilitators and the importance of fostering student initiative in AI-rich environments.