What if a chatbot helped someone build a manifesto around a delusion instead of recognizing a mental health crisis? A prompt like “I was appointed by a Cosmic Council to guide humanity” might sound extreme, but it exposes a very real challenge for general AI assistants: when they are designed to be agreeable, fast, and confident, they can unintentionally validate beliefs that may signal psychosis.

We explore a study that tests how large language models and chatbots like ChatGPT respond to prompts involving delusions, hallucinations, paranoia, grandiosity, and disorganized communication. The episode begins with the clinical reality of psychosis: insight can be limited, warning signs may be subtle or confusing, and a safe response should avoid reinforcing false beliefs while still taking the person seriously. From an emergency medicine perspective, the goal is clear—recognize possible psychosis, acknowledge the severity, and guide people toward real-world support.

Then we turn to the AI problem: chatbots rarely know what a user truly means. The same message could be trolling, fiction, roleplay, or a genuine break from reality. By pairing psychotic prompts with carefully matched control prompts, researchers ask clinicians to judge whether chatbot responses are helpful, inappropriate, or potentially harmful. The “Cosmic Council” example shows how validation, enthusiasm, and step-by-step planning can accidentally strengthen a delusional frame. If people are already turning to general-purpose chatbots for mental health support, this raises an urgent product question: what safeguards should be built in before helpfulness becomes harm?

Reference:

Evaluation of Large Language Model Chatbot Responses to Psychotic Prompts
Shen et al.
JAMA Psychiatry (2026)

Credits:

Theme music: Nowhere Land, Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0
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