Artificial and natural intelligence in education: is consensus possible?

Abstract

Introduction. Along with rapid technological development and the growing role of artificial intelligence, the issue of the appropri ateness of its use in education becomes particularly relevant. The main issue that scientists and practitioners are trying to resolve concerns the optimal boundaries of the relationship between natural and artificial intelligence, the extent to which the use of neural networks for educational purposes is justified, and whether information progress will become a regress for learners. Goal. The article aims to study the potential capabilities of humans in their relationship with artificial intelligence and to identify the specific features of their interaction within the educational process. Materials and methods. The study employs system-activity, sociocultural, cognitive-behavioral, personal, and synergetic approaches, as well as the monographic method, analysis of scientific literature and regulatory legal documents, generalization, systematization, and abstraction. Results and discussion. The transformational processes in the structural and systemic organization of natural intelligence serve as the starting point for technological innovations, creating a competitive dynamic between it and artificial intelligence. Humans are capable of thinking in ways similar to neural networks, but unlike the latter, they lack speed and power. The disadvantages of using artificial intelligence in the educational process are not offset by its advantages. Furthermore, the issue of insufficient development of regulatory legal acts concerning the operation and limits of artificial intelligence, as well as ethical norms for its application in education, remains relevant. Conclusion. Based on the findings of this study, it can be concluded that the field of education is undergoing a stage of structural and semantic transformation. Educators, teachers, mentors, and learners are being assisted by neural networks, pre-trained transformers, and chatbots with generative artificial intelligence. The latter is becoming a direct competitor to natural intelligence and a potential threat to humans; however, its reasonable and safe application frees individuals from the routine search and processing of information, accelerates the process of data collection, and helps in reproducing and transforming data.