The Effect of Threats from Using the Artificial Intelligence on the Educational Process in the Context of Information Security: A Methodological Approach to Modeling and Ordering Impact Levels

The Effect of Threats from Using the Artificial Intelligence on the Educational Process in the Context of Information Security: A Methodological Approach to Modeling and Ordering Impact Levels

Автор: Myroslav Kryshtanovych, Iryna Gavrysh, Oleksandra Khltobina, Ihor Havrylov, Yevhen Gren

Журнал: International Journal of Modern Education and Computer Science @ijmecs

Статья в выпуске: 5 vol.16, 2024 года.

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The main purpose of the article is to highlight and determine the level of influence of the most significant threats from the use of artificial intelligence in the educational process in the context of ensuring information security. To achieve this goal, the research methodology involves the use of an expert analysis method, which, through the Delphi method, will help to identify the most significant threats to the use of artificial intelligence in the educational process, a paired comparison method, which is necessary to implement the hierarchical analysis method, which in turn aims to organize a certain list of experts. As a result of the study, the most significant modern threats to the use of artificial intelligence in the educational process in the context of ensuring information security were identified. The resulting matrix of hierarchical ordering of threats made it possible to divide them into those that require immediate intervention and those that are less important. The innovativeness of the results obtained is revealed through the established methodological approach to modeling the ordering of the influence of threats from the use of artificial intelligence on the educational process in the context of ensuring information security. The study is limited by taking into account only the specifics of the educational process in Ukraine.

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Artificial Intelligence, Education, Information Security, threats

Короткий адрес: https://sciup.org/15019523

IDR: 15019523   |   DOI: 10.5815/ijmecs.2024.05.02

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