Document Type
Article
Publication Date
2026
Publisher
Wolters Kluwer/Aspen Publishers
Source Publication
Journal of Contemporary Behavioural and Social Research
Source ISSN
1085-4568
Abstract
Mental health conditions are prevalent across the lifespan, yet workforce shortages, long waiting times, and fragmented systems mean many people never receive timely, evidence‑based care. Artificial intelligence (AI), including machine‑learning classifiers and large language models (LLMs), is being explored to support earlier detection, closer symptom monitoring and scalable psychoeducation. Early studies suggest AI can surface risk signals from language, sleep/activity traces and clinical notes; summarise complex records for clinicians; and deliver structured self‑help at scale. At the same time, safety, bias, privacy and accountability concerns remain salient.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Singh, Maharaj, "Artificial Intelligence and Mental Health: Promise, Pitfalls and Ethical Priorities" (2026). College of Nursing Faculty Research and Publications. 1224.
https://epublications.marquette.edu/nursing_fac/1224
Comments
Published version. Journal of Contemporary Behavioural and Social Research, Vol. 1, No. 2 (2025): 147-148. DOI. This article is © Wolters Kluwer - Medknow. Used with permission.
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License (CC BY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.