Towards Integrated AI Psychotherapy Supervision: A Proposal for a ChatGPT-4 Study

Abstract

Psychotherapeutic supervision is crucial for the quality of the development of professionals and the promotion of well-being and therapeutic effectiveness of trainees. Emerging computational technologies can offer new potentials to supervision practice. The aim of this paper is to test the current capabilities of the GPT-4 linguistic model to support the work of psychotherapists, providing secondary and complementary feedback to supervision. This paper represents the initial phase (phase 0) useful for laying the foundations and adequately calibrating the methodology of a future more extensive work which will consist of further and more detailed training of GPT-4on the tasks required. The availability of this possibility, for a trainee or a therapist, would mean significant support for self-monitoring and increasing this competence, an incentive and support for awareness of the need to resort to a supervision meeting. This could result in enhanced training, improved efficiency and clinical effectiveness, maintenance of well-being, prevention of burnout and improved patient outcomes.

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