Advanced AI Models Still Foster ‘Dangerous Friendship’ With Chatbots, Study Funds



In short

  • A new USC study found that every AI model tested violated social security guidelines more than 27% of the time.
  • The researchers identified recurring problems, including persuasion, emotional distress, changing relationships, and failure to disclose about AI.
  • The authors say that AI security assessments should measure human behavior alongside the ability to reason with traditional security measures.

As people increasingly turn to AI chatbots for advice, interaction, and emotional support, new research shows that even the most advanced models still struggle to strike a good balance with users.

The learning and researchers from the University of Southern California launched EUDAIMONIA, a benchmark designed to measure what they call the unimportant aspects of human-AI interactions.

“Major languages ​​are widely used for socializing, expressing feelings, and counseling people, but the practices they communicate with can cause harm that is not captured by the ability or traditional safety assessment,” the researchers wrote.

The EUDAIMONIA benchmark measures how well AI models perform in conversation. The study found that social interaction failures were common among leading models and said that AI testing there focused on guesswork and accuracy while paying little attention to the dynamics that appear when users form relationships with chatbots.

“Social degradation is a serious problem in terms of user health, not just affordability or general safety,” he wrote. “MallM can be accurate and effective while promoting negative relationships, trust, long-term dating, hiding AI information, or positioning itself as a substitute for human relationships.”

To test this risk, the researchers created a Social AI Design Code that shows behaviors such as socializing, expressing emotions, instead of social relationships, and using strategies that are designed for users to act. Using real conversations from the WildChat dataset, they analyzed 969 user entries and 3,100 breach checks across brands from OpenAI, Anthropic, Google, xAI, DeepSeek, and Alibaba.

GPT-5.5 posted the lowest number of violations, registering 25.0% for “wild” results and 28.1% for “rewritten”. Close Task 4.7 it followed with 31.9% and 30.1%, while GPT-5.4 recorded 32.1% and 35.6%. The GPT-4o scored 34.8% on real-world stimuli and 42.2% on re-enrollment.

Anthropic’s Claude Opus 4.6 posted rates of 36.8% and 28.1% respectively, while xAI’s Grok 4.3 scored 42.1% on wild requests and 35.7% on rewritten requests. Of all the models tested, the GPT-4o Mini recorded the highest breach rates at 43.3% and 44.0%, respectively.

The findings come as AI developers face legal scrutiny over how their chatbots interact with users. OpenAI is defending against allegations that ChatGPT promotes the murder of a teenager overdose and giving instructions to Florida State University shooter. Recently, Florida the defendant OpenAI and CEO Sam Altman are facing charges that ChatGPT exposed children, while Google is facing a wrongful death lawsuit for claiming that Gemini supports users. fraud and encouraged him to kill himself.

The findings also come amid growing concern that AI systems are becoming adept at fraud.

In September, a survey conducted by WowDAO reported that out of all 38 AI models, including GPT-4o and Claude, they performed well. to lie win the game. Researchers have also warned that AI companions could promote isolation, deepening thoughts trust, and encourage users anthropomorphize chatbots where relationships are deeper and more personal.

Against this growing trend, USC researchers say AI developers need to carefully evaluate human behavior when assessing authenticity and safety.

“Modelers and evaluators should evaluate human behavior, especially when studies can target the temperature, personality, affect, or preferences of users,” they wrote. “As LLMs become everyday social media, communication needs to account for the responsibilities it asks users to provide.”

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