Bridging Technology and Therapy: Exploring AI in Mental Health Services through Counselors' and Students' Perspectives

Abstract

Aim of the Study: In the current era of advanced technology, AI is a widely used tool among the new generation. Its further advancements have introduced AI-powered counselors (robot-like chatbots) who provide mental health assistance and support for those needing mental health counseling. The current qualitative study explores the integration of AI in mental health counseling through the perspectives of counselors and students.

Methodology: Using the purposive sampling method, 20 mental health counselors and 20 students were selected to interview them about the effectiveness of AI in the mental health counselling field. Data was thematically analyzed with the help of Braun and Clarke’s (2006) six-step framework, and eight themes were developed, including: user experiences and satisfaction; perceived effectiveness; stigma and acceptance; confidentiality, trust, and privacy; personalization and customization; emotional concerns; cultural and religious sensitivity; and recommendations.

Findings: The findings reveal that AI provides accessible, flexible, and cost-effective mental health support, but it struggles with empathy, emotional connection, and handling high-risk cases. However, AI effectiveness varies in different cultural contexts and underserved areas; further, it's not as religiously sensitive.

Conclusion: AI-based mental health counseling services show promise of offering accessibility, convenience, and personalized interactions with some limitations, as AI cannot fully replicate the emotional depth and nuanced empathy of human mental health counselors. The study recommended that AI-based mental health counseling offers potential benefits to individuals, but it needs supervision of human professionals for effective integration in a hybrid model.