ARTIFICIAL INTELLIGENCE IN EDUCATION: REGULATION, ETHICS, AND SECURITY

Abstract

Abstract

The integration of artificial intelligence (AI) into e-learning environments is transforming educational practices by enabling personalized learning pathways, automating assessment, and enhancing administrative efficiency. While these innovations offer significant pedagogical benefits, they also raise complex ethical and security concerns. This paper explores the implications of AI use in digital education, focusing on algorithmic transparency, data protection, and institutional accountability. It examines how AI systems influence decision-making processes in teaching and learning, and highlights the need for clear public policies to regulate their deployment. Drawing on international best practices and case studies from countries such as Finland, Estonia, and Romania, the study identifies key strategies for responsible AI implementation. These include teacher training in digital ethics, risk-based governance frameworks, and mechanisms for human oversight of algorithmic decisions. The paper also discusses the importance of transparency policies, such as algorithmic audit protocols and public registries, to ensure that AI systems operate fairly and explainable. By adopting an interdisciplinary approach that combines digital pedagogy, ethical standards, and legal safeguards, the research advocates for a sustainable and inclusive model of AI integration in education. The findings underscore the urgency of aligning technological innovation with democratic values and human rights, ensuring that AI serves as a tool for empowerment rather than control in the learning process.