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- Artificial Intelligence (1)
- Artificial intelligence; clinical education; clinical training; mental health services; supervision; university-based settings (1)
- COVID-19 mental health; Artificial intelligence and counseling; Chatbot; Quarantine mental health (1)
- Counselor Education and Supervision (1)
Articles 1 - 3 of 3
Full-Text Articles in Medicine and Health Sciences
Artificial Intelligence For Mental Health Support During Covid-19: Experiences Of Graduate Counseling Students, Russell Fulmer, Eric T. Beeson, Carl Sheperis, Daniel Rosello, Rebecca Edelman
Artificial Intelligence For Mental Health Support During Covid-19: Experiences Of Graduate Counseling Students, Russell Fulmer, Eric T. Beeson, Carl Sheperis, Daniel Rosello, Rebecca Edelman
Journal of Technology in Counselor Education and Supervision
The purpose of this study was to examine how an AI chatbot could provide mental health support to counselors-in-training during the COVID-19 pandemic. The chatbot “Tess” was available to participants for two weeks. Participants responded to questions about their experience and the content of this qualitative data was analyzed. Themes emerged that focused on mental health during the pandemic, utility of the AI chatbot during the pandemic, and potential therapeutic use in general. Findings were mixed and suggest some skepticism among counseling students towards the use of an AI chatbot.
Introduction To The Special Issue On Artificial Intelligence In Counselor Education And Supervision, Russell Fulmer, Wendell Callahan, Olivia Uwamahoro Williams
Introduction To The Special Issue On Artificial Intelligence In Counselor Education And Supervision, Russell Fulmer, Wendell Callahan, Olivia Uwamahoro Williams
Journal of Technology in Counselor Education and Supervision
No abstract provided.
Using Ai-Supported Supervision In A University Telemental Health Training Clinic, Donna Sheperis, Shiri Sadeh-Sharvit
Using Ai-Supported Supervision In A University Telemental Health Training Clinic, Donna Sheperis, Shiri Sadeh-Sharvit
Journal of Technology in Counselor Education and Supervision
Artificial Intelligence (AI) technologies have the potential of transforming clinical education and supervision in university-based telemental health training clinics. AI can improve the accuracy of diagnoses, automate routine tasks, and personalize treatment plans, potentially enhancing the accessibility and quality of mental health care. In this paper, we describe why training clinics serve as an optimal setting to adopt innovation and share lessons from the field to inform future integrations of AI in clinical supervision. The lessons include support for case conceptualization, feedback on session quality, and automation of routine tasks such as sending standardized assessments and writing progress notes. However, …