Potential for Artificial-Intelligence Powered Chat Therapy in Psychiatry-View Presentation

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In a detailed exploration of AI's impact on mental health care, Dr. Rebecca Stennerson, Dr. Young Jo, and student Dr. Twi-Mai Le provided insights into the historical and current uses of chatbot technology in therapy. The discussion began with tracing AI's roots with figures like Alan Turing and John McCarthy, leading to the development of foundational concepts such as machine learning and artificial intelligence. The evolution of chatbots was highlighted, from early forms like Eliza and PERI to more advanced systems like Alice and modern AI like chatGPT, showcasing the transition from rule-based systems to complex generative AI.<br /><br />The panel explored the application of AI in therapy, focusing on digital mental health tools and chatbots like Wobot and Wysa, which are designed to provide cognitive behavioral therapy and other therapeutic interventions. These tools show promise in reducing depression symptoms and helping manage anxiety through techniques inspired by CBT, DBT, and motivational interviewing.<br /><br />AI's potential to improve healthcare was discussed, noting advantages such as 24/7 availability, cost reduction, accessibility in remote areas, and personalized treatment through data analytics. However, challenges such as lack of empathy, potential for ethical violations, privacy concerns, and risk of de-skilling practitioners were also considered.<br /><br />The session emphasized the need for ethical guidelines, transparency, and ongoing evaluation practices using models like the APA's app evaluation pyramid. Future research was encouraged to focus on improving AI's integration with clinical practice while safeguarding against unintended harmful consequences in social and clinical settings.

Keywords

AI impact

mental health care

chatbot technology

therapy

machine learning

digital mental health

cognitive behavioral therapy

ethical guidelines

data analytics

accessibility

future research