Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review.
Journal:
JMIR research protocols
PMID:
39879615
Abstract
BACKGROUND: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.