Responsible Design, Integration, and Use of Generative AI in Mental Health

AbstractGenerative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue...

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Main Authors: Oren Asman, John Torous, Amir Tal
Format: Article
Language:English
Published: JMIR Publications 2025-01-01
Series:JMIR Mental Health
Online Access:https://mental.jmir.org/2025/1/e70439
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author Oren Asman
John Torous
Amir Tal
author_facet Oren Asman
John Torous
Amir Tal
author_sort Oren Asman
collection DOAJ
description AbstractGenerative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI’s capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation. Contributors discuss how bias, alignment with human values, transparency, and empathy must be carefully addressed to ensure ethically grounded, artificial intelligence–assisted care. By proposing conceptual frameworks; best practices; and regulatory approaches, including ethics of care and the preservation of socially important humanistic elements, this theme issue underscores that GenAI can complement, rather than replace, the vital role of human empathy in clinical settings. To achieve this, an ongoing collaboration between researchers, clinicians, policy makers, and technologists is essential.
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spelling doaj-art-5fe5be21554a42e3b24fe619457abdc22025-01-27T04:44:58ZengJMIR PublicationsJMIR Mental Health2368-79592025-01-0112e70439e7043910.2196/70439Responsible Design, Integration, and Use of Generative AI in Mental HealthOren Asmanhttp://orcid.org/0000-0003-2439-6997John Toroushttp://orcid.org/0000-0002-5362-7937Amir Talhttp://orcid.org/0000-0002-6099-8904 AbstractGenerative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI’s capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation. Contributors discuss how bias, alignment with human values, transparency, and empathy must be carefully addressed to ensure ethically grounded, artificial intelligence–assisted care. By proposing conceptual frameworks; best practices; and regulatory approaches, including ethics of care and the preservation of socially important humanistic elements, this theme issue underscores that GenAI can complement, rather than replace, the vital role of human empathy in clinical settings. To achieve this, an ongoing collaboration between researchers, clinicians, policy makers, and technologists is essential.https://mental.jmir.org/2025/1/e70439
spellingShingle Oren Asman
John Torous
Amir Tal
Responsible Design, Integration, and Use of Generative AI in Mental Health
JMIR Mental Health
title Responsible Design, Integration, and Use of Generative AI in Mental Health
title_full Responsible Design, Integration, and Use of Generative AI in Mental Health
title_fullStr Responsible Design, Integration, and Use of Generative AI in Mental Health
title_full_unstemmed Responsible Design, Integration, and Use of Generative AI in Mental Health
title_short Responsible Design, Integration, and Use of Generative AI in Mental Health
title_sort responsible design integration and use of generative ai in mental health
url https://mental.jmir.org/2025/1/e70439
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