UDC 378.1

Berman N.D.¹ (Khabarovsk, Russian Federation) – nina.berman@mail.ru

¹Pacific National University

Abstract. The introduction of artificial intelligence into the educational environment opens up new prospects for personalizing learning and increasing its effectiveness, but is associated with a set of ethical, legal and pedagogical challenges. AI refers to the development of computing technologies designed to perform tasks that typically require human intelligence, such as learning, reasoning and problem solving. The integration of AI agents into education facilitates innovation aimed at solving key pedagogical problems, such as personalization, motivation and scalability. The aim of the study is to analyze the key ethical risks of implementing AI agents and propose mechanisms to minimize them. The objectives of the study include an overview of the use of AI tools, identifying the key benefits and potential threats, systematizing the ethical risks arising from the use of AI in education, identifying gaps in current regulation and pedagogical practice. AI agents are autonomous or semi-autonomous systems capable of processing data, making decisions and performing tasks, often without direct human intervention. The use of AI in education faces a number of controversies. One of the main contradictions can be called the conflict between personalization and privacy in educational AI systems. The problem of algorithmic bias, manifested in biased assessments and discriminatory recommendations, which can exacerbate social inequality, is considered. The phenomenon of dehumanization of education, expressed in the substitution of human interaction with standardized algorithmic decisions, is also analyzed. Another challenge and ethical risk of using AI agents in education is the problem of transparency and explainability, the so-called “black box” in AI decision-making and the lack of clear criteria for evaluating the performance of algorithms. The study discusses the issue of legal liability for AI decisions. The practical significance of the study lies in the development of a systematic approach to balancing technological innovations and humanitarian values. The research materials can be useful for developers of educational technologies, teachers involved in the digital transformation of education.

Keywords: artificial intelligence in education, AI agent, AI ethics, algorithmic bias, AI transparency and explainability, data protection, digital pedagogy, legal regulation of AI.

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For citation: Berman N.D. Overcoming the challenges of introducing AI agents in the educational environment: focus on ethical aspects and risks. CITISE, 2025, no. 3, pp. 166-177.