GENERATIVE LINGUISTICS AND THE CHALLENGES OF ARTIFICIAL INTELLIGENCE

This article examines the interaction between generative linguistics and artificial intelligence in the context of contemporary technological and scientific developments. The study focuses on the challenges faced by generative linguistics due to the rapid advancement of neural networks, large language models, and computational approaches to natural language processing. Particular attention is paid to the theoretical foundations of generative grammar, its contribution to modern linguistics, and its relevance in the age of artificial intelligence. The paper analyzes the relationship between formal linguistic theories and data-driven AI systems, highlighting both contradictions and possibilities for integration. The research demonstrates that despite criticism and the growing dominance of machine learning technologies, generative linguistics continues to play an important role in understanding the structure of language and cognitive mechanisms of speech production.