„Dzieci Frankensteina”? Socjalizacyjne modyfikacje procesu edukacji w dobie sztucznej inteligencji
“Frankenstein’s Children”? Socialising Modifications of the Educational Process in the Age of Artificial Intelligence

Summary/Abstract: RESEARCH OBJECTIVE: The aim is to provide a theoretical diagnosis of the impact of the paceof contemporary civilisational changes – which are consequences of the development of informationtechnologies – on the specificity of modifications to the youth socialisation space and their impacton the forecasted changes to the educational model of the future.THE RESEARCH PROBLEM AND METHODS: The research problem is contained in the ques-tion: To what extent does the leap in civilisation progress generated by the successive stages ofthe digital revolution modify young people’s socialisation process, creating new spaces and newrealised patterns of educational interactions? A selective analysis of theoretical works and researchreports from sociology, pedagogy, psychology, psychiatry, neuroscience and information technologywas used as a research method, combining it with the results of my research work.THE PROCESS OF ARGUMENTATION: The article analyses the new quality of the youth sociali-sation process taking shape in recent years and its effects in educational spaces, using selectedelements of the conceptual model applied to analyses of the world of contemporary youth in timesof accelerated civilisational change.RESEARCH RESULTS: As a consequence of the development of new opportunities brought aboutby the dynamic development of information technologies, especially artificial intelligence systems,we are seeing the creation of new foundations for the socialisation process of young people, whichis noticeably making its presence felt in educational spaces.CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: Themodifications to the socialisation process of young people emerging in the wake of rapid civilisa-tional change are contributing to the shaping of a new model of education for the future, and theexisting one is beginning to lose its relevance. The development of appropriate mechanisms tocontinuously monitor the impact of AI systems on their users seems necessary in such a situation.

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