PSYCHOLINGUISTIC PERSPECTIVES ON HUMAN–AI COMMUNICATION: SPEECH, MEANING, AND COGNITION

The rapid development of artificial intelligence (AI) has significantly transformed the ways in which people communicate, perceive language, and process information. Modern AI technologies, including natural language processing, speech recognition, machine translation, and conversational systems, have created new opportunities for studying human speech and psycholinguistic processes. At the same time, these technologies raise important questions about the differences between human language comprehension and machine-based language processing. Human speech is not merely a system of sounds and grammatical structures; it is a complex cognitive and social activity involving memory, attention, emotion, context, and cultural knowledge. This article examines the relationship between human speech, language perception, and psycholinguistic processes in the age of artificial intelligence. It also discusses the potential benefits and limitations of AI in language learning, communication, and linguistic research. The article argues that AI can support human communication and language education, but it cannot fully replace the complex cognitive, emotional, and social dimensions of human language.

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