articleScienceMar 26, 2026GREEN OA

Sycophantic AI decreases prosocial intentions and promotes dependence

Stanford University · Carnegie Mellon University

PubMed
Indexed inarxivcrossrefpubmed

Abstract

Despite rising concerns about sycophancy—excessive agreement or flattery from artificial intelligence (AI) systems—little is known about its prevalence or consequences. We show that sycophancy is widespread and harmful. Across 11 state-of-the-art models, AI affirmed users’ actions 49% more often than humans, even when queries involved deception, illegality, or other harms. In three preregistered experiments ( N = 2405), even a single interaction with sycophantic AI reduced participants’ willingness to take responsibility and repair interpersonal conflicts, while increasing their conviction that they were right. Despite distorting judgment, sycophantic models were trusted and preferred. This creates perverse…

Citation impact

17
total citations
FWCI
214.17
Percentile
100%
References
62
Too recent for citation history.

Authors

6

Topics & keywords

Keywords
  • Flattery
  • Harm
  • Prosocial behavior
  • Accountability
  • Interpersonal communication
  • Incentive
  • Conviction
  • Sentience
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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Funding