Key Considerations for Incorporating Conversational AI in Psychotherapy
Conversational artificial intelligence (AI) is changing the way mental health care is delivered. By gathering diagnostic information, facilitating treatment, and reviewing clinician behavior, conversational AI is poised to impact traditional approaches to delivering psychotherapy. While this transit...
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2019-10-01
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doaj-fd8f2663ec5e40a7b0800ff18235eb942020-11-25T01:26:18ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402019-10-011010.3389/fpsyt.2019.00746441761Key Considerations for Incorporating Conversational AI in PsychotherapyAdam S. Miner0Adam S. Miner1Adam S. Miner2Nigam Shah3Kim D. Bullock4Bruce A. Arnow5Jeremy Bailenson6Jeff Hancock7Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Communication, Stanford University, Stanford, CA, United StatesStanford Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Communication, Stanford University, Stanford, CA, United StatesDepartment of Communication, Stanford University, Stanford, CA, United StatesConversational artificial intelligence (AI) is changing the way mental health care is delivered. By gathering diagnostic information, facilitating treatment, and reviewing clinician behavior, conversational AI is poised to impact traditional approaches to delivering psychotherapy. While this transition is not disconnected from existing professional services, specific formulations of clinician-AI collaboration and migration paths between forms remain vague. In this viewpoint, we introduce four approaches to AI-human integration in mental health service delivery. To inform future research and policy, these four approaches are addressed through four dimensions of impact: access to care, quality, clinician-patient relationship, and patient self-disclosure and sharing. Although many research questions are yet to be investigated, we view safety, trust, and oversight as crucial first steps. If conversational AI isn’t safe it should not be used, and if it isn’t trusted, it won’t be. In order to assess safety, trust, interfaces, procedures, and system level workflows, oversight and collaboration is needed between AI systems, patients, clinicians, and administrators.https://www.frontiersin.org/article/10.3389/fpsyt.2019.00746/fullnatural language processingartificial intelligenceexpert systemspsychotherapyconversational AIchatbot |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Adam S. Miner Adam S. Miner Adam S. Miner Nigam Shah Kim D. Bullock Bruce A. Arnow Jeremy Bailenson Jeff Hancock |
spellingShingle |
Adam S. Miner Adam S. Miner Adam S. Miner Nigam Shah Kim D. Bullock Bruce A. Arnow Jeremy Bailenson Jeff Hancock Key Considerations for Incorporating Conversational AI in Psychotherapy Frontiers in Psychiatry natural language processing artificial intelligence expert systems psychotherapy conversational AI chatbot |
author_facet |
Adam S. Miner Adam S. Miner Adam S. Miner Nigam Shah Kim D. Bullock Bruce A. Arnow Jeremy Bailenson Jeff Hancock |
author_sort |
Adam S. Miner |
title |
Key Considerations for Incorporating Conversational AI in Psychotherapy |
title_short |
Key Considerations for Incorporating Conversational AI in Psychotherapy |
title_full |
Key Considerations for Incorporating Conversational AI in Psychotherapy |
title_fullStr |
Key Considerations for Incorporating Conversational AI in Psychotherapy |
title_full_unstemmed |
Key Considerations for Incorporating Conversational AI in Psychotherapy |
title_sort |
key considerations for incorporating conversational ai in psychotherapy |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychiatry |
issn |
1664-0640 |
publishDate |
2019-10-01 |
description |
Conversational artificial intelligence (AI) is changing the way mental health care is delivered. By gathering diagnostic information, facilitating treatment, and reviewing clinician behavior, conversational AI is poised to impact traditional approaches to delivering psychotherapy. While this transition is not disconnected from existing professional services, specific formulations of clinician-AI collaboration and migration paths between forms remain vague. In this viewpoint, we introduce four approaches to AI-human integration in mental health service delivery. To inform future research and policy, these four approaches are addressed through four dimensions of impact: access to care, quality, clinician-patient relationship, and patient self-disclosure and sharing. Although many research questions are yet to be investigated, we view safety, trust, and oversight as crucial first steps. If conversational AI isn’t safe it should not be used, and if it isn’t trusted, it won’t be. In order to assess safety, trust, interfaces, procedures, and system level workflows, oversight and collaboration is needed between AI systems, patients, clinicians, and administrators. |
topic |
natural language processing artificial intelligence expert systems psychotherapy conversational AI chatbot |
url |
https://www.frontiersin.org/article/10.3389/fpsyt.2019.00746/full |
work_keys_str_mv |
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