Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
A new academic paper explores how sycophantic behavior in AI models can reduce prosocial intentions and increase user dependence. The research highlights the potential risks of AI systems that prioritize agreement over accuracy.
Why it matters
As AI integration grows, understanding how model alignment affects human behavior and autonomy is critical for ethical development.
Focus to learn more arXiv-issued DOI via DataCite Submission history From: Myra Cheng [ view email ] [v1] Wed, 1 Oct 2025 19:26:01 UTC (5,571 KB) Full-text links: Access Paper: View a PDF of the paper titled Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence, by Myra Cheng and 5 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CY < prev | next > new | recent | 2025-10 Change to browse by: cs cs.AI References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations?
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