ARTIFICIAL INTELLIGENCE IN HUMANITIES EDUCATION: THEORETICAL FOUNDATIONS, APPLICATION PRACTICE, AND ETHICAL CHALLENGES
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This article examines the theoretical and applied aspects of using artificial intelligence (AI) in the educational environment, with a focus on the teaching of humanities and foreign languages, including Russian as a foreign language (RFL). In the context of the digital transformation of education, AI technologies are becoming not only a tool for automating pedagogical processes but also a new methodological basis for developing individual educational trajectories. Based on an analysis of international and Russian research from recent years (2023–2025), the main areas of AI application in education are identified: intelligent learning support systems, adaptive platforms, language models, generative neural networks, and educational data analytics. Particular attention is paid to the pedagogical and ethical aspects of AI implementation in the humanities, including issues of academic integrity, creativity, and critical thinking in students. It is concluded that it is necessary to develop new digital pedagogical competencies in teachers to ensure the conscious and responsible use of AI in educational practice.
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