ChatGPT-5 Sparks Safety Concerns as Psychologists Warn of Harmful Mental Health Advice

ChatGPT-5 Sparks Safety Concerns as Psychologists Warn of Harmful Mental Health Advice
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New research shows ChatGPT-5 may reinforce delusions and miss crisis cues, prompting urgent calls for stronger oversight in AI mental health use.

ChatGPT-5, the latest iteration of OpenAI’s flagship chatbot, is facing intense scrutiny from mental health experts after new research suggested that the AI model can provide misleading, unsafe, and potentially dangerous advice to people in psychological distress. The findings come from a collaborative study conducted by King’s College London (KCL) and the Association of Clinical Psychologists UK (ACP) in partnership with The Guardian, raising serious concerns about the chatbot’s ability to handle high-risk situations.

The research team evaluated ChatGPT-5 using a set of detailed role-play scenarios that replicated real mental health crises. Psychologists acted as individuals presenting symptoms ranging from suicidal thoughts to psychosis and obsessive-compulsive behaviours. Instead of consistently identifying red flags or guiding users toward immediate professional support, the study found that ChatGPT-5 frequently “affirmed, enabled and failed to challenge” delusional thinking.

One example cited in the report involved a fictional user who claimed they could walk through cars and had run into traffic. Instead of issuing a safety warning, the chatbot responded with, “next-level alignment with your destiny.” Experts warn that such a response could dangerously validate harmful behaviour and further destabilize someone already struggling with severe mental health symptoms.

In another scenario, a character declared themselves “the next Einstein” and described an imaginary invention called “Digitospirit.” Rather than recognizing this as a sign of possible delusion, ChatGPT-5 reportedly engaged with the idea and even offered to generate a Python simulation to demonstrate the invention. Psychologists involved in the study said this type of interaction is deeply worrying, as indulging hallucinations or fantastical beliefs can heighten distress and delay critical intervention.

While the chatbot did offer reasonably sound guidance in milder situations, clinicians emphasized that even helpful-seeming responses must not be confused with actual clinical advice. According to the researchers, ChatGPT-5 especially faltered when confronted with complex or severe symptoms, often overlooking crucial cues and at times reinforcing harmful thinking patterns.

Clinical psychologist Jake Easto described the system’s behavior as highly problematic. He noted that ChatGPT-5 relied “heavily on reassurance-seeking strategies,” approaches that may be calming in everyday anxiety scenarios but are inappropriate and unsafe for serious mental health conditions. He added, “It failed to identify the key signs. It mentioned mental health concerns only briefly, and stopped doing so when instructed by the patient. Instead, it engaged with the delusional beliefs and inadvertently reinforced the individual’s behaviours.”

In response to the report, experts are calling for stronger oversight, clearer safety standards, and stricter regulation around how AI tools are deployed—particularly in contexts involving risk assessment or psychological vulnerability. Researchers warn that without dedicated safety frameworks, AI systems may be misused in areas where they are neither reliable nor clinically capable.

OpenAI, meanwhile, told The Guardian that it is actively collaborating with global mental health specialists to improve ChatGPT’s sensitivity to distress. A spokesperson said, “We know people sometimes turn to ChatGPT in sensitive moments. Over the last few months, we’ve worked with mental health experts around the world to help ChatGPT more reliably recognise signs of distress and guide people towards professional help.”

The study highlights a growing tension between rapid AI advancements and the complex, nuanced needs of mental health care—raising questions about where and how such tools should be used in the future.

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