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VOL. 10, ISSUE 2 (2025)
AI chatbots in mental health: Rising reliance, ethical dilemmas, and user engagement
Authors
Rishi Gupta, Pushkar Yadav, Nishant Pal, Dr Meena Chaudhary, Dr. Gunjan Chandwani
Abstract

Artificial Intelligence (AI) has become a revolutionary force in mental healthcare, providing new solutions to age old-problems, AI-based chatbots have experienced meteoric rises in responsiveness and precision, allowing them to not only be analytical tools but also virtual friends offering emotional and mental care. This paper analyses increasing reliance on chatbots for mental help, reviews their effectiveness as opposed to standard therapy, and delves into issues of concern including privacy, bias in algorithms, and potential over-reliance.

Relying on synthesis of new research and practice, we note AI’s potential for early identification of mental disorders, tailored therapeutic treatment, and 24/7 access-filling significant gaps in treatment due to stigma, expense, or professional time constraints. Such developments do come with strong requirements for regulatory approaches to minimize the risks of misuse of data, emotional numbness, and cultural insensitivity. Future development involves open AI validation, multidisciplinary engagement, and equitable incorporation with human-guided care in order to maintain empathy and responsibility.

Indicate that 40% of users prefer chatbots for initial mental health support due to their anonymity and convenience (Battiato et al., 2024) [2].

§  Purpose: To explore methods for improving user engagement, addressing ethical concerns regarding mental health chat bots and providing solutions on how to effectively use them.

§  Research Questions:

1.       How can we make mental health chat bots more engaging and user-friendly?

2.       What are the primary ethical challenges faced for using chat bots?

3.       Through the examination of engagement measures,

4.       How can we ensure chat bots meet ethical standards while still being easy and enjoyable to use?

Ethical considerations, and policy requirements, the study seeks to inform the moral adoption of AI in mental care so that accessibility is increased by user well-being is not sacrificed.
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Pages:44-48
How to cite this article:
Rishi Gupta, Pushkar Yadav, Nishant Pal, Dr Meena Chaudhary, Dr. Gunjan Chandwani "AI chatbots in mental health: Rising reliance, ethical dilemmas, and user engagement". International Journal of Advanced Education and Research, Vol 10, Issue 2, 2025, Pages 44-48
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