ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN PSYCHOLOGY: A REVIEW OF RESEARCH

Artificial Intelligence (AI) has emerged as one of the most transformative technologies influencing contemporary psychological science. Over the past decade, rapid advancements in machine learning, natural language processing (NLP), deep learning, and predictive analytics have reshaped the ways psychologists measure behavior, analyze mental processes, and deliver psychological interventions. This review synthesizes contemporary empirical literature on the integration of AI in psychological assessment, diagnosis, intervention, and research methodologies. Findings indicate that AI improves diagnostic accuracy, enhances mental-health service accessibility, strengthens predictive modeling of behavior, and assists in understanding complex psychological phenomena through large-scale data analytics. However, the integration of AI in psychology also raises significant ethical concerns, including algorithmic bias, privacy risks, and threats to therapeutic relationships. The review concludes by outlining future research priorities, emphasizing the need for ethical frameworks, transparent algorithms, cross-disciplinary collaboration, and culturally sensitive AI systems. AI’s role in psychology continues to evolve, offering substantial promise but requiring careful regulation and ethical oversight.