Risks assessment of using artificial intelligence in education

Bibliographic Data

ID21421813
AuthorsJelica Babić (0000-0003-0459-294X, University of Belgrade), Sofija Matović (0009-0000-8483-8932, University of Belgrade)
Year2025
Volume59
Issue3
Pages610-634
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueSocioloski pregled (JOURNAL)
Journal identifiersISSN: 0085-6320 • E-ISSN: 2560-4880
PublisherCentre for Evaluation in Education and Science (CEON/CEES) (PUBLISHER)
DOI10.5937/socpreg59-57266
OpenAlexW4412166509
LanguageEN
Citations received1
References cited38

Recognising ethical challenges in integrating artificial intelligence in education raises many sociological questions. This study aims to identify and classify risks of using artificial intelligence in education with a quantitative assessment of the probability of risk occurrence in relation to the degree of teacher control and artificial intelligence automation according to the Human-Centred model. The theoretical analysis identified 10 risks, which were grouped into four categories. The descriptive statistical analysis based on insights from nine experts indicates that a combination of high control and high automation is most effective in mitigating risks, whereas low control with high automation is the riskiest scenario. Future implications emphasise preventive educational measures for reliable use

Machine learning · Artificial Intelligence · Computer Science · Educational Innovations and Challenges · Engineering Education and Technology · Psychology · Technology and Human Factors in Education and Health

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Open DOIOpen Access