The study conceptualizes artificial intelligence in higher education as a socio-technical system in which human cognition, institutional norms, and algorithmic processes interact. It aims to develop a model of functional differentiation that preserves students’ cognitive responsibility while enabling the safe and effective use of artificial intelligence. The study employs a mixed-methods design combining conceptual analysis with empirical data from student surveys conducted in higher education institutions in Georgia. The findings indicate that artificial intelligence enhances operational efficiency and supports academic tasks; however, its use for content generation is associated with reduced cognitive engagement and risks to knowledge reliability and academic integrity. The study concludes that clear functional boundaries, process-oriented assessment, AI literacy, and institutional governance are essential for responsible integration.
The metaphysical technology of the security concept implies a mental-conceptual system of ontological definition of security as a state of being and establishing its conceptual criteria, which allows for planning through a rational algorithm and establishing principled approaches to avoiding and overcoming threats through formal methods, including mathematical deduction. The discussion part, through a review of scientific and literary sources, focuses on the specifics of the metaphysical concept of security in order to identify axiological analytical needs. The results highlight the relevance of the study with scientific novelty, in particular, the contribution of ethical-political discourse to the modern framework of the ontological concept of security. The conclusions and findings demonstrate the practical value of the research, namely, the inevitability of transforming the ethical-political discourse as a subject of reflection on universal scientific knowledge, in the perspective of understanding and evaluating pragmatic security problems.