Generative AI Utilized to Address Situational Depression, Raises Privacy and Accuracy Concerns
Generative AI is increasingly being used to address situational depression, as noted in a recent report. The technology is being applied in an ad hoc manner for mental health inquiries, rather than through formal clinical deployment. This trend highlights three main technical challenges: the potential for AI models to produce incorrect or misleading clinical advice, privacy and consent issues related to user data, and the absence of validated clinical evaluation metrics for open-ended AI responses. These challenges are common across nonclinical deployments of large language models (LLMs) and are not specific to any single vendor's systems.