КФУ. Карточка публикации. Ethical Guidelines for the Use of Artificial Intelligence in Education

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ETHICAL GUIDELINES FOR THE USE OF ARTIFICIAL INTELLIGENCE IN EDUCATION

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2025

Язык

английский

Авторы, сотрудники КФУ

Никифорова Эльвира Гумаровна, автор

Шакирова Динара Шамилевна, автор

Библиографическое описание на языке оригинала

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.

Аннотация

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.

Ключевые слова

Artificial Intelligence, Artificial Intelligence Code of Ethics, Artificial Intelligence in Education, Ethics of Artificial Intelligence Use, White Paper

Название журнала

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

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https://repository.kpfu.ru/?p_id=317832

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Никифорова Эльвира Гумаровна	ru_RU
dc.contributor.author	Шакирова Динара Шамилевна	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	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.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=317832	ru_RU
dc.description.abstract	Lecture Notes in Networks and Systems	ru_RU
dc.description.abstract	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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Artificial Intelligence	ru_RU
dc.subject	Artificial Intelligence Code of Ethics	ru_RU
dc.subject	Artificial Intelligence in Education	ru_RU
dc.subject	Ethics of Artificial Intelligence Use	ru_RU
dc.subject	White Paper	ru_RU
dc.title	Ethical Guidelines for the Use of Artificial Intelligence in Education	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU