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Treatment is a well-tested way to serving to folks with intellectual fitness demanding situations, but analysis displays that almost 50% of people who may just get pleasure from healing products and services are not able to achieve them.

Cheap and available AI remedy chatbots powered via huge language fashions had been touted as one strategy to meet the desire. However new analysis from Stanford College displays that those instruments can introduce biases and screw ups that would lead to unhealthy penalties.

The paper might be offered on the ACM Convention on Equity, Responsibility, and Transparency and was once revealed at the arXiv preprint server.

“LLM-based systems are being used as companions, confidants, and therapists, and some people see real benefits,” stated Nick Haber, an assistant professor on the Stanford Graduate College of Schooling, an associate of the Stanford Institute for Human-Targeted AI, and senior writer at the new find out about.

“But we find significant risks, and I think it’s important to lay out the more safety-critical aspects of therapy and to talk about some of these fundamental differences.”

Risks of LLM therapists

To grasp the techniques by which AI remedy is also other from human remedy, the analysis group first began via undertaking a mapping assessment of healing tips to look what traits made a excellent human therapist.

Those tips integrated characteristics reminiscent…

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Publish date : 2025-06-16 20:13:00

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