People’s Attitudes and Opinions Towards AI in Mental Health Care
A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Health Psychology".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 417
Editors
Interests: mental health; psychosis, serious mental illness; bipolar; metacognition; wellbeing; young adult; trustworthy AI; AI ethics; digital mental health
Special Issue Information
Dear Colleagues,
I am pleased to announce a Special Issue of Behavioral Sciences titled, ‘People’s Attitudes and Opinions Towards AI in Mental Health Care’.
This Special Issue seeks to advance understanding and critical debate on how end users (across the mental health spectrum), clinicians, and developers perceive and engage with AI-supported mental healthcare. We welcome contributions examining lived experience and attitudes towards AI-enabled interventions; the role of trust, transparency, perceived capability, and human oversight in adoption and sustained use; ethical considerations including privacy, bias, accountability, autonomy, and inclusivity; the influence of individual differences on technology acceptance; implementation challenges in real-world services; and value-sensitive, user-centred design approaches.
This Special Issue aims to move beyond questions of technical feasibility toward socially robust implementation, with the aim of informing ethical, trustworthy, and fit-for-purpose, AI-enabled interventions that strengthen mental health provision while safeguarding autonomy, equity, and psychological wellbeing.
Dr. Emma Claire Palmer-Cooper
Prof. Dr. Mark Weal
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- eHealth
- mHealth
- mental health
- digital health
- human-AI interaction
- health equity
- digital inclusion
- patient perspectives
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