Artificial Intelligence in Counseling: Evaluating Its Strengths, Limitations, and Ethical Considerations in Indian Schools

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ID: 310688
2025
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Abstract
The growing mental health concerns among students in Indian schools, particularly in the face of academic pressure, social challenges, and limited access to qualified counselors, underscore the need for innovative solutions. Artificial intelligence (AI) offers promising potential to address these gaps in the school counseling ecosystem. This paper explores the integration of AI-driven tools, such as chatbots and virtual therapists, in Indian school settings, analyzing their strengths, limitations, and ethical implications. A qualitative approach was employed, including a review of existing literature, case studies, and expert interviews, to examine the current landscape of AI applications in mental health support and its relevance to Indian schools. AI systems can enhance accessibility by providing 24/7, scalable, and non-judgmental mental health support, particularly in rural and underserved regions. They offer the benefits of consistency, cost-effectiveness, and data-driven insights to monitor students' emotional well-being. However, AI tools are limited in their capacity to replicate the emotional depth, empathy, and nuanced understanding that human counselors bring to complex mental health issues. Ethical concerns, including data privacy and informed consent, further complicate the adoption of AI in school counseling. The paper argues that AI should complement rather than replace human counselors, with a hybrid model that leverages both AI and human expertise to provide more comprehensive and inclusive mental health support. By embracing AI as a supplementary tool, Indian schools can address the growing mental health needs of students while maintaining the vital human element in counseling.
Reference Key
imported_1768940438_696fe3966c89a Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors O.P. Sharma
Journal International Journal of Science and Social Science Research
Year 2025
DOI
10.5281/zenodo.15090441
URL
https://www.ijsssr.com/j/article/view/359
Keywords Keywords not found

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