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VOL. 12, ISSUE 2 (2026)
Artificial intelligence in mental health care: Opportunities, ethical challenges, and the path forward
Authors
Asim Ahmed Laskar
Abstract
The global mental health crisis has intensified demand for scalable,
accessible, and evidence-based psychological interventions. Artificial
intelligence (AI) technologies — including machine learning algorithms, natural
language processing (NLP), and large language models (LLMs) — have emerged as
potentially transformative tools in the assessment, diagnosis, and treatment of
mental health conditions. This paper provides a comprehensive review of the
current landscape of AI applications in mental health care, examining empirical
evidence for their efficacy, systemic barriers to adoption, and the ethical
tensions that accompany their deployment. Drawing on peer-reviewed literature,
clinical case studies, and emerging regulatory frameworks, the analysis reveals
a complex picture: AI holds genuine promise for broadening access to care and
enhancing diagnostic precision, yet also risks exacerbating existing health
disparities, eroding therapeutic alliance, and generating opaque algorithmic
decisions with life-altering consequences. The paper concludes by proposing a
human-centered integration framework grounded in clinical oversight,
algorithmic transparency, and equity-centered design principles.
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Pages:284-287
How to cite this article:
Asim Ahmed Laskar "Artificial intelligence in mental health care: Opportunities, ethical challenges, and the path forward". International Journal of Humanities and Social Science Research, Vol 12, Issue 2, 2026, Pages 284-287
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