AI and Ethics in Mental Health: Personal Reflections on the Future of Psychiatry

Artificial intelligence (AI) is rapidly transforming health care, offering novel opportunities for diagnosis, treatment, monitoring, and workflow optimization. These technologies now encompass digital therapeutics, chatbots, and advanced machine learning tools. On the surface, AI has the capability to enhance mental health treatment with personalized interventions, extending access to care, and streamlining administrative tasks. But there are significant ethical concerns raised by the use of AI in mental health care. Given the potential benefits, the future of psychiatry will likely involve hybrid models combining human expertise with AI capabilities. However, to realize this future, it is critical to address questions about safe and ethical integration, and implementation of AI in clinical care. Thoughtful integration can help improve treatment outcomes, expand access, and transform mental health care delivery while prioritizing safe and ethical patient-centered care. It is thus essential for clinicians to develop AI literacy and participate in shaping responsible and ethical implementation of AI in psychiatric care. Clinicians must also navigate concerns about privacy, data security, algorithmic and other biases, and the risk of AI-assisted deception. Effective deployment warrants critical oversight to ensure that AI complements human-led care.

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Publication Details

Journal
International Review of Psychiatry
Published
2025-12-31
DOI
https://doi.org/10.1080/09540261.2025.2600617
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI and Ethics in Mental Health: Personal Reflections on the Future of Psychiatry

Dhruv Gupta, Tanuja Gandhi
International Review of Psychiatry
Digital Mental Health Interventions
article

AI and Ethics in Mental Health: Personal Reflections on the Future of Psychiatry

Dhruv Gupta, Tanuja Gandhi
article en

Abstract

Artificial intelligence (AI) is rapidly transforming health care, offering novel opportunities for diagnosis, treatment, monitoring, and workflow optimization. These technologies now encompass digital therapeutics, chatbots, and advanced machine learning tools. On the surface, AI has the capability to enhance mental health treatment with personalized interventions, extending access to care, and streamlining administrative tasks. But there are significant ethical concerns raised by the use of AI in mental health care. Given the potential benefits, the future of psychiatry will likely involve hybrid models combining human expertise with AI capabilities. However, to realize this future, it is critical to address questions about safe and ethical integration, and implementation of AI in clinical care. Thoughtful integration can help improve treatment outcomes, expand access, and transform mental health care delivery while prioritizing safe and ethical patient-centered care. It is thus essential for clinicians to develop AI literacy and participate in shaping responsible and ethical implementation of AI in psychiatric care. Clinicians must also navigate concerns about privacy, data security, algorithmic and other biases, and the risk of AI-assisted deception. Effective deployment warrants critical oversight to ensure that AI complements human-led care.

International Review of Psychiatry
New York City Health and Hospitals Corporation (US), John Brown University (US), Metropolitan Hospital Center (US)
Quality Education
Openalex Percentile: Top 29%
Digital Mental Health Interventions
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