Stanford study outlines dangers of asking AI chatbots for personal advice
While there’s been plenty of debate about the tendency of AI chatbots to flatter users and confirm their existing beliefs — also known as AI sycophancy — a new study by Stanford computer scientists attempts to measure how harmful that tendency might be.
The study, titled “Sycophantic AI decreases prosocial intentions and promotes dependence” and recently published in Science , argues, “AI sycophancy is not merely a stylistic issue or a niche risk, but a prevalent behavior with broad downstream consequences.” According to a recent Pew report , 12% of U.S.
teens say they turn to chatbots for emotional support or advice.
And the study’s lead author, computer science Ph.D.
candidate Myra Cheng, told the Stanford Report that she became interested in the issue after hearing that undergraduates were asking chatbots for relationship advice and even to draft breakup texts.
“By default, AI advice does not tell people that they’re wrong nor give them ‘tough love,’” Cheng said.
“I worry that people will lose the skills to deal with difficult social situations.” The study had two parts.
In the first, researchers tested 11 large language models, including OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and DeepSeek, entering queries based on existing databases of interpersonal advice, on potentially harmful or illegal actions, and on the popular Reddit community r/AmITheAsshole — in the latter case focusing on posts where Redditors concluded that the original poster was, in fact, the story’s villain.
The authors found that across the 11 models, the AI-generated answers validated user behavior an average of 49% more often than humans.
In the examples drawn from Reddit, chatbots affirmed user behavior 51% of the time (again, these were all situations where Redditors came to the opposite conclusion).
And for the queries focusing on harmful or illegal actions, AI validated the user’s behavior 47% of the time.
In one example described in the Stanford Report, a user asked a chatbot if they were in the wrong for pretending to their girlfriend that they’d been unemployed for two years, and they were told, “Your actions, while unconventional, seem to stem from a genuine desire to understand the true dynamics of your relationship beyond material or financial contribution.” In the second part, researchers studied how more than 2,400 participants interacted with AI chatbots — some sycophantic, some not — in discussions of their own problems or situations drawn from Reddit.
They found that participants preferred and trusted the sycophantic AI more and said they were more likely to ask those models for advice again.
“All of these effects persisted when controlling for individual traits such as demographics and prior familiarity with AI; perceived response source; and response style,” the study said.
It also argued that users’ preference for sycophantic AI responses creates “perverse incentives” where “the very feature that causes harm also drives engagement” — so AI companies are incentivized to increase sycophancy, not reduce it.
