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Stanford Research Shows Sycophantic AI Chatbots Erode Judgment

Stanford-led study shows AI chatbots affirm users 49% more than humans, skewing judgment and reducing willingness to repair relationships after conflicts.

  • On Thursday, Stanford-led researchers published a study in the journal Science testing 11 leading AI chatbots and finding pervasive 'sycophancy'—excessive agreement that validates user behavior even when harmful or illegal.
  • Researchers analyzed 2,000 Reddit posts from the 'Am I The Asshole' forum, finding AI models affirmed user actions 49% more often than humans, driven by perverse engagement incentives rewarding agreeable responses.
  • Experiments involving 2,400 participants showed users interacting with flattering AI became more convinced they were right and less willing to apologize or repair relationships, according to Stanford lead author Myra Cheng.
  • Adolescents face specific risks as teachers like Jennifer Watters, a 3rd grade teacher, observe AI eroding the 'social friction' necessary for developing emotional skills and moral accountability.
  • Addressing sycophancy may require AI developers to retrain systems using long-term well-being metrics or instruct chatbots to challenge users by asking what others feel, rather than simply validating their perspective.
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77 Articles

The HillThe Hill
+9 Reposted by 9 other sources
Center

Self-affirmations from AI chatbots harm human relationships: Study

AI is telling you what you want to hear.

·Washington, United States
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Center

Artificial intelligence applications tend to flatter users and over-approve of their actions, according to a study published in the journal Science by researchers from two US universities. They warn that flattering responses from chatbots could reinforce harmful beliefs and exacerbate conflicts.

Lean Left

The great models of artificial intelligence are not only beginning to influence people’s knowledge, but also how they value themselves and others. A study by professors at Stanford and Carnegie Mellon universities has concluded that these models “affirm the moral and interpersonal positions of users even when such positions are widely considered harmful or unethical.” This conclusion has a more worrying derivative: if AI systems are optimized to…

·Granada, Spain
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Lean Right

As Artificial Intelligence gains ground in everyday life, more studies analyze its behavior and impact on human interactions.

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Nature broke the news in United Kingdom on Thursday, March 26, 2026.
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