Generative AI and Mental Health Care: The Potential and Challenges of Text-Generation AI

Abstract

Generative AI is a technology that produces data and holds great promise for contributing to mental health care. This paper focuses on text-generating AI and explores its potential applications. Firstly, conversational agents powered by text-generating AI show potential in improving mental health by alleviating usersʼ depression and psychological distress. However, further evidence is required to substantiate these effects. For care service providers, text-generating AI can aid in writing research papers, automatically summarizing conversations, evaluating clinical skills, and diagnosing. Additionally, it has the potential to offer personalized, effective support and optimize intervention tools. Nonetheless, challenges such as data bias, privacy, accuracy, and ethical issues remain. It is crucial to monitor the development of generative AI and explore ways to utilize it for better mental health care in the future.