The Use of Artificial Intelligence in Higher Education

Iryna Drach*, Olha Petroye, Oleksandra Borodiyenko, Iryna Reheilo, Oleksandr Bazeliuk, Nataliia Bazeliuk, Olena Slobodianiuk

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review


The article analyses the theoretical foundations of using artificial intelligence (AI) in higher education. It shows that the AI system as a strategic technology provides many benefits for the lives of people and society as a whole and also symbolises a new stage not only in the history of digital technologies but also on a global scale of development of modern civilisation. The article provides an overview of the policies of European and global organisations, including the United Nations Educational, Scientific and Cultural Organisation (UNESCO), the European Union, the Organisation for Economic Cooperation and Development, the European University Association, etc. on the effective use of AI in everyday life and, in particular, in education.
Based on the analysis results, the article systematises ethical principles (human-centred values, governance, transparency, accountability, sustainability, proportionality, confidentiality, safety, security, and inclusiveness) that should be applied in using AI. The SWOT analysis helped identify strengths and weaknesses, opportunities and risks of using AI in higher education. The article examines the regulatory framework for the implementation of AI in the Ukrainian educational area and identifies the peculiarities of AI application in the educational process of higher education institutions. It analyses statistical data for identifying the risks and threats of using AI in HEIs under the Open Science, obtained in 2023 by researchers of the Institute of Higher Education of NAES of Ukraine in the all-Ukrainian survey “Open Science in Higher Education Institutions of Ukraine,” more than 1.5 thousand respondents participated. The article also substantiates practical recommendations for developing and implementing AI in higher education at the national, institutional and individual levels.
Original languageEnglish
Peer-reviewed scientific journalInternational Scientific Journal of Universities and Leadership
Pages (from-to)66-82
Publication statusPublished - 2023
MoE publication typeA1 Journal article - refereed


  • 516 Educational sciences
  • artificial intelligence
  • ethical principles
  • SWOT analysis
  • all-Ukrainian survey
  • national and institutional policies
  • higher education


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