The Opportunities and Risks of Large Language Models in Mental Health.

Area of Science:

• Digital Health
• Artificial Intelligence in Healthcare
• Mental Health Technology

Background:

• Global mental health concerns are increasing, exceeding the capacity of current care models.
• Large language models (LLMs) present a novel technological opportunity to address these growing demands.
• LLMs are already being explored for various mental health applications.

Purpose of the Study:

• To review existing literature on LLM applications in mental health education, assessment, and intervention.
• To identify opportunities for positive impact using LLMs in mental healthcare.
• To highlight risks and propose mitigation strategies for LLM deployment in mental health.

Main Methods:

• Systematic review of current research on LLMs for mental health.
• Analysis of LLM capabilities in providing mental health education, assessment, and intervention.
• Identification and discussion of ethical considerations and risks.

Main Results:

• LLMs show potential in delivering mental health education, performing assessments, and offering interventions.
• Key opportunities exist for LLMs to enhance mental health support at scale.
• Significant risks associated with LLM use in mental health require careful management.

Conclusions:

• Balancing the urgent need for mental health support with responsible LLM development is paramount.
• Ensuring LLMs are fine-tuned for mental health, promote equity, and adhere to ethical standards is critical.
• Involving individuals with lived experience in LLM development and deployment is essential for maximizing positive impact and minimizing harm.