THE IMPACT OF GENERATIVE NEURAL NETWORKS ON THE LEXICAL AND GRAMMATICAL NORMS OF THE MODERN RUSSIAN LANGUAGE

Abstract

This article examines the main directions of the influence of generative neural networks on the development of the modern Russian language. It analyzes changes in the vocabulary and grammar of digital communication and identifies the pedagogical opportunities and potential risks associated with the use of artificial intelligence in the educational process. The author presents the LINGUA–AI scientific and methodological model, which reveals the relationship between the digital language environment, lexical and grammatical changes, and the formation of contemporary language norms. Particular attention is paid to the methodological aspects of using generative artificial intelligence in Russian language and literature lessons, as well as to developing students' critical attitudes toward texts generated by neural networks.