Штучний інтелект у сучасних психологічних дослідженнях: досвід, перспективи та методологічні виклики використання

The article provides a systematic theoretical analysis of the role of artificial intelligence in contemporary psychological research and demonstrates its impact on the methodological transformation of psychological science-namely, the shift from descriptive approaches to predictive and personalized analysis of cognitive, emotional, and behavioral data. Key areas of AI application are highlighted (adaptive psychometric platforms, multimodal emotion recognition, natural language processing, large language models, and interactive assistants), and their potential to improve the accuracy of psychodiagnostics and expand the accessibility of psychological support is emphasized, provided that human oversight is maintained. Methodological and ethical challenges of AI use are outlined, including issues of validation, reproducibility, and algorithmic transparency, risks to confidentiality and algorithmic bias, as well as the danger of reductionism in the interpretation of psychological data. The feasibility of hybrid «AI+expert» models and the need to develop a coherent ethical framework for the application of AI in psychological research are substantiated.