Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
ETHICAL GUIDELINES FOR THE USE OF ARTIFICIAL INTELLIGENCE IN EDUCATION
Form of presentationArticles in international journals and collections
Year of publication2025
Языканглийский
  • Nikiforova Elvira Gumarovna, author
  • Shakirova Dinara Shamilevna, author
  • Bibliographic description in the original language Nikiforova E.G., Shakirova D.S., Ethical Guidelines for the Use of Artificial Intelligence in Education//Lecture Notes in Networks and Systems. - 2025. - Vol.1552 LNNS, Is.. - P.605-612.
    Annotation This article examines the ethical challenges of integrating artificial intelligence (AI) into educational processes, focusing on the Russian context. While AI offers significant benefits, such as adaptive learning systems, automated assessments, and personalized education, it also raises critical ethical concerns. These include over-reliance on technology, diminished critical thinking, plagiarism risks, digital inequality, and accountability issues. The study employs a mixed-methods approach, combining retrospective analysis of legislative frameworks, secondary data analysis, and a sociological survey of first-year management students at Kazan Federal University (KFU). Key findings reveal that 79.3% of respondents use AI tools (e.g., chatbots like GPT) for academic tasks, yet 56.5% disclose their AI usage only upon request, highlighting transparency gaps. The authors analyze existing ethical guidelines, such as Russia's 2021 AI Ethics Code and UNESCO recommendations, emphasizing principles like fairness, transparency, and accountability. Case studies from leading Russian universities, including KFU and Tomsk State University, illustrate efforts to balance AI integration with ethical safeguards. The article concludes with policy recommendations: establishing clear ethical standards, enhancing digital literacy programs, implementing monitoring systems, and fostering collaboration among stakeholders. Additionally, it proposes student-oriented principles (e.g., honesty, responsibility, critical engagement) to guide ethical AI use in academia. This research underscores the urgency of addressing ethical dilemmas to ensure equitable and responsible AI adoption in education, contributing to global discourse on AI governance.
    Keywords Artificial Intelligence, Artificial Intelligence Code of Ethics, Artificial Intelligence in Education, Ethics of Artificial Intelligence Use, White Paper
    The name of the journal Lecture Notes in Networks and Systems
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015689336&doi=10.1007%2F978-3-031-99598-9_86&partnerID=40&md5=3e2bbf7b00ebf26da97a760b1b24be46
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=317832&p_lang=2

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