AI-Enhanced Psychotherapy: Catalyzing Human Flourishing and Quality of Life -A Narrative Review
DOI:
https://doi.org/10.47392/IRJAEH.2026.0525Keywords:
Counselling, Ethical Practice, Future, PsychotherapyAbstract
Artificial intelligence is emerging as a revolutionary force in psychotherapy and human development, transforming the ways in which psychological support is acquired, given, and experienced throughout life. Recent studies on the effects of AI-enabled tools on therapeutic settings and developmental outcomes are summarised in this narrative review. This narrative review aims to explore how AI may influence or direct human development in both clinical and non-clinical contexts, as well as how it affects psychotherapy procedures and results. Over a billion people suffer from mental health issues, particularly anxiety and depression, and traditional psychotherapy is constrained by stigma and a lack of therapists. AI offers scalable supplements that have moderately significant effects on symptoms of depression. Despite these advancements, stringent oversight is still necessary due to ethical concerns about bias, privacy violations, and fair access. The goal of the study is to identify the ways in which AI interventions support engagement, adherence, and symptom relief in mental disorders. It emphasises lifespan development in affective, cognitive, and social domains as well as integration into psychotherapy models. Accessibility, customisation, scalability, and continuity are among the advantages; risks like bias and relational effects are analysed. With greater engagement, AI-driven chatbots and conversational agents result in modest to moderate improvements in anxiety and depression. Early distress management and emotional development are enhanced by AI screening. In conclusion, AI enhances psychotherapy and flourishing by augmenting human care, necessitating ethical, developmental, and cultural considerations. Longitudinal studies and the strengthening of human relationships and resilience should be the main topics of future research.
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