Therapists’ attitudes towards the use of AI in therapeutic practice: considering the therapeutic alliance

Prescott, J and Hanley, T (2023) Therapists’ attitudes towards the use of AI in therapeutic practice: considering the therapeutic alliance. Mental Health and Social Inclusion, 27 (2). pp. 177-185. ISSN 2042-8308

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Abstract

Purpose – The aim of this research is to gain an insight into the attitudes that therapists, both qualified and trainee, have towards the use of artificial intelligence (AI)/machine therapy in therapeutic practice. The paper also aims to gain an insight into attitudes towards machine therapy and the potential of developing a therapeutic alliance with a machine therapist. Design/methodology/approach – A short questionnaire was developed to gauge therapists and trainee therapists’ attitudes towards machine therapy. The questionnaire included a scenario for participants to read and then respond to questions on the therapeutic alliance using questions based upon those asked on the working alliance short inventory scale. At the end of the questionnaire, there was also the opportunity for participants to respond to an open-ended question. Findings – It is evident from the responses that there is a clear reservation about the use of AI technology within the therapeutic setting. In spite of this reticence, many participants recognised the potential and are open to the possibilities this technology can bring. It was notable that the therapists largest concern was about the potential to create a strong bond with a machine therapist. Originality/value – This paper presents findings on therapists’ attitudes towards AI use within therapeutic practice and machine therapy. Whilst limited in scope, it provides a yardstick for considering the way that attitudes towards these emerging technologies might change in the future.

Item Type:	Article
Divisions:	Sciences > Psychology
Depositing User:	G Denton
Date Deposited:	15 Sep 2023 15:12
Last Modified:	15 Sep 2023 15:12
URI:	https://ulaw.repository.guildhe.ac.uk/id/eprint/7

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