ARTIFICIAL INTELLIGENCE USE POLICIES IN HIGHER EDUCATION INSTITUTIONS: UKRAINIAN AND INTERNATIONAL EXPERIENCE
DOI:
https://doi.org/10.28925/2414-0325.2025.196Keywords:
artificial intelligence (AI), generative artificial intelligence (GAI), AI use policy, higher education institutions, AI use declaration, academic integrity, international experienceAbstract
The rapid development of artificial intelligence technologies, particularly generative language models, is fundamentally transforming the educational environment and creating the need for specialized policies for their use in higher education institutions. The large-scale implementation of AI technologies is accompanied by significant risks of violating academic integrity principles, which necessitates a regulatory framework for AI use that considers both innovative opportunities and educational quality requirements.
A comparative analysis of Ukrainian and international experience showed that Ukrainian higher education institutions are in a transition stage from general declarative documents to forming concrete mechanisms for regulating AI use. The study examined policies of leading Ukrainian universities (Kherson State University, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Oles Honchar Dnipro National University, etc.) and international higher education institutions (Uppsala University, University of Cambridge, Massachusetts Institute of Technology, etc.).
It was established that international practices are characterized by systematicity, flexibility, and focus on practical implementation, including mandatory AI content marking, creation of internal secure platforms, and introduction of local policies at the faculty level. Ukrainian universities mostly limit themselves to declarative provisions that require further elaboration.
Based on the analysis, four key directions for forming AI use policies were identified: risk management and security, flexibility and autonomy, practical implementation and support, transparency and accountability. Recommendations for adapting international practices to the national context were proposed, particularly implementing mechanisms for declaring and marking AI content, creating secure infrastructure, and developing institutional culture of responsible AI use. The research results can serve as a methodological foundation for developing effective artificial intelligence use policies by Ukrainian universities.
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