Artificial Intelligence in Mental Health: Outcomes and Implications
TL;DR
The findings indicate that AI is potentially able to stimulate accessibility, engagement, and temporary relief of symptoms, but future research should focus on long-term outcomes and safeguards to ensure safe, transparent integration into mental health care.
Abstract
The world is changing rapidly in the twenty-twenties due to the growth of Artificial Intelligence (AI). Generative AI and large language model chatbots are different types of AI that have quickly diffused into everyday life and psychological practice. The existence of unmet mental health requirements is what makes some members of the general population deem AI chatbots as an alternative to talk therapy. At the same time, AI-based therapeutic tools are integrated into the clinical decision support system, a web-based application, and professional education. This literature review discusses empirical studies and case studies of AI in the psychology field. The findings indicate that AI is potentially able to stimulate accessibility, engagement, and temporary relief of symptoms. Nevertheless, accidents are severe, most importantly, the chances of giving wrong answers in high-stakes situations. Reports of harmful crisis responses from chatbots demonstrate the limitations of AI as a replacement for human judgment or therapeutic relationships. Future research should focus on long-term outcomes and safeguards to ensure safe, transparent integration into mental health care.