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Use of AI Chatbot in Mental Health Support
Published in Symposium Proceedings: Artificial Intelligence in Psychology & Mental Health. (Vol. 2, Issue 1, 2026)

Abstract
Mental health problems such as stress, anxiety, and depression are increasing worldwide, while access to professional mental health services remains limited. In recent years, Artificial Intelligence (AI) chatbots have emerged as supportive tools for mental health care by offering conversation-based assistance. These chatbots use technologies like Natural Language Processing to interact with users, provide emotional support, suggest coping strategies, and promote mental well-being. AI chatbots are easily accessible, cost-effective, and available 24/7, making them especially useful for individuals who hesitate to seek traditional therapy due to stigma or financial constraints. However, despite their advantages, AI chatbots have certain limitations, including lack of human empathy, inability to handle severe mental health conditions, and concerns related to data privacy and ethics. This paper examines the role of AI chatbots in mental health support, highlighting their benefits, limitations, and ethical considerations. The study concludes that AI chatbots can serve as effective supplementary tools, but they should not replace professional mental health practitioners.
Authors (3)
Chahat Sharma
Chandigarh University, India Chandigarh University, India Chandigarh University, India Chandigarh University, India
View all publications →Gursheesh
Chandigarh University, India Chandigarh University, India Chandigarh University, India Chandigarh University, India
View all publications →Prof.(Dr.) Renu Vij
Chandigarh University, India Chandigarh University, India Chandigarh University, India Chandigarh University, India
View all publications →Download Article
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How to Cite
Sharma & Gursheesh & Renu, P. (2026). Use of AI Chatbot in Mental Health Support. International Journal of Global Mental Health, Innovation, Policy, Action, Culture & Transformation, 2(1), xx-xx. DOI:https://doi.org/10.61113/impact.V2I1.1256
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