Ethical Aspects of Using Artificial Intelligence for Monitoring Academic Integrity in Higher Education Institutions of Ukraine

Tetiana Lysenko, Svitlana Shestakova, Olga Yakovlieva, Nataliia Savastru and Oksana Mykhailova

Seminars in Medical Writing and Education, 2025, vol. 4, 447

Abstract: Introduction: The contemporary educational system, which is based on implementing innovative solutions, requires new methods of academic integrity control. One is artificial intelligence, which is still a new method and has not been sufficiently studied in scientific research. Objective: to identify the main ethical issues of introducing artificial intelligence to control academic integrity in Ukrainian higher education institutions and to analyze the perception of students and teachers towards these technological solutions. Methods: The type of this study is a cross-sectional survey involving two groups of participants: teachers (n=20) and students (n=100). The main tool was a questionnaire consisting of different types of questions (open, closed, Likert scale). Results: The students rated the possibility of using AI to monitor academic integrity at 3.52 points, while teachers rated it at 2.95. A t-test to compare the results showed that there is a statistically significant difference between the average scores of the two groups. The average confidence score in using AI to control academic integrity among students is 3.43, and among teachers - 3.15. Conclusions: The conclusions indicate that a number of ethical risks accompany the introduction of such technologies. In particular, challenges such as the confidentiality of student data, violation of their private rights, and the possibility of misuse of the collected information are identified.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:medicw:v:4:y:2025:i::p:447:id:447

DOI: 10.56294/mw2025447

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