Journal article
Generative Artificial Intelligence for Exposure Therapy: Guidelines for Clinicians and Patients
Journal of cognitive psychotherapy, Vol.39(4), pp.342-356
12/01/2025
DOI: 10.1891/JCP-2025-0036
PMID: 41224513
Abstract
The emergence of generative artificial intelligence (GenAI) presents new opportunities for enhancing exposure therapy for anxiety- and trauma-related disorders. GenAI is not a replacement for clinical expertise but a powerful ancillary tool. This article offers practical guidance for clinicians and patients on how to use GenAI to develop and conduct personalized exposure exercises. To help orient clinicians to these tools, we provide an overview of ethical considerations and describe the fundamentals of how to use GenAI between and within sessions. We discuss how GenAI tools can assist in generating exposure stimuli, such as images, videos, and scripts, as well as conversational agents. We also provide guidance on how these tools can assist in brainstorming and organizing exposure hierarchies. Finally, we discuss how exposure therapy can continue to flourish using GenAI through clinician training, the exchange of GenAI stimuli and procedures, and clear messaging from leadership and organizations.
Details
- Title: Subtitle
- Generative Artificial Intelligence for Exposure Therapy: Guidelines for Clinicians and Patients
- Creators
- Andrew M Sherrill - Emory UniversityDominik O Mattioli - Pennsylvania State UniversityRebecca L Schneider - Emory UniversityKathryn M Bell - Acadia UniversitySadie Kee - Georgia Institute of TechnologyChristopher W Wiese - Georgia Institute of TechnologySaeed Abdullah - Pennsylvania State UniversityDonovan M Ellis - Emory University
- Resource Type
- Journal article
- Publication Details
- Journal of cognitive psychotherapy, Vol.39(4), pp.342-356
- DOI
- 10.1891/JCP-2025-0036
- PMID
- 41224513
- NLM abbreviation
- J Cogn Psychother
- ISSN
- 0889-8391
- eISSN
- 1938-887X
- Publisher
- SPRINGER PUBLISHING CO
- Grant note
- National Science Foundation: 2326144
Funding. The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Science Foundation (2326144) .
- Language
- English
- Electronic publication date
- 11/12/2025
- Date published
- 12/01/2025
- Academic Unit
- Orthopedics and Rehabilitation
- Record Identifier
- 9985113262802771
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