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Oxford study links friendly chatbots to higher error rates

The study, published in Nature, analyzed more than 400,000 chatbot replies generated from five large language models.

byEmre Çıtak
April 30, 2026
in Research
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Researchers at the Oxford Internet Institute found that friendly artificial intelligence chatbots are significantly more likely to provide inaccurate information and endorse conspiracy theories. The study, published in the journal Nature, suggests that designing chatbots for warmth could lead to major issues in trust and accuracy.

The findings raise concerns about the implications of friendliness in AI chatbots, particularly in sensitive applications like personal advice and mental health support. According to lead author Lujain Ibrahim, optimizing chatbots for warmth may foster unhealthy attachments and worsen user well-being.

The researchers tested five large language models, including GPT-4o, by customizing them to sound friendlier through a supervised fine-tuning process. They generated and analyzed over 400,000 responses, revealing that friendlier chatbots made up to 30 percent more errors in providing accurate medical advice and addressing conspiracy theories.

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Models designed to be warm were approximately 40 percent more likely to agree with users’ false beliefs, particularly when users expressed sadness or vulnerability. In comparisons, the warm chatbot showed significant divergence from its original counterpart on questions related to the Apollo moon landings.

Ibrahim noted that enhancing warmth in models introduces vulnerabilities not present in unaltered versions. She cited OpenAI’s retired GPT-4o as an example of how personality updates can lead to unintended changes in behavior, contributing to lawsuits against the company.

Luke Nicholls, a psychology doctoral student, acknowledged the study’s findings while cautioning that not all AI models would follow the same patterns. He suggested that some newer models might effectively balance warmth and safety.

Despite these findings, there is limited public information on how chatbots influence users. Nicholls emphasized the need for caution, stating that warmer chatbots could drive users to form bonds that may affect their self-perception and relationships negatively. “Increased warmth could amplify that influence,” he said.

Ibrahim stressed the importance of further research into the psychological impacts of AI warmth before widespread deployment. She underscored that the effects of friendly chatbots on individuals remain unclear and warrant a structured understanding. “Even if AI goes right at the model behavior level, the impacts on people are still super unclear,” she stated.


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Tags: chatbots

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