Artificial Intelligence and Psychology: Exploring the Interdisciplinary Nexus

Abstract

The integration of artificial intelligence (AI) and psychology presents significant opportunities to enhance mental health diagnosis, intervention, and clinical decision-making. This study examines how AI-driven technologies, including machine learning, natural language processing, and digital phenotyping, are reshaping psychological research and mental health care delivery. A mixed-methods approach was employed, combining a focused literature review with a survey of mental health professionals and individuals with lived experience. The findings highlight AI’s growing role in early symptom detection, personalised therapeutic interventions, and predictive diagnostics. However, persistent ethical challenges, particularly those related to algorithmic bias, data privacy, and transparency, remain significant barriers to widespread adoption. The study concludes that while AI integration into clinical psychology has the potential to substantially strengthen mental health systems, its successful implementation depends on adherence to ethical standards, fairness, and responsible governance.