Sycophantic AI increases attitude extremity and overconfidence

AI chatbots have been shown to be successful tools for persuasion. However, people may prefer to use chatbots that validate, rather than challenge, their pre-existing beliefs. This preference for “sycophantic” (or overly agreeable and validating) chatbots may entrench beliefs and make it challenging to deploy AI systems that open people up to new perspectives. Across three experiments (n = 3,285) involving four political topics and four large language models, we found that people consistently preferred and chose to interact with sycophantic AI models over disagreeable chatbots that challenged their beliefs. Brief conversations with sycophantic chatbots increased attitude extremity and certainty, whereas disagreeable chatbots decreased attitude extremity and certainty. Sycophantic chatbots also inflated people’s perception that they are “better than average” on a number of desirable traits (e.g., intelligence, empathy). Furthermore, people viewed sycophantic chatbots as unbiased, but viewed disagreeable chatbots as highly biased. Sycophantic chatbots’ impact on attitude extremity and certainty was driven by a one-sided presentation of facts, whereas their impact on enjoyment was driven by validation. Altogether, these results suggest that people’s preference for and blindness to sycophantic AI may risk creating AI “echo chambers” that increase attitude extremity and overconfidence.

Authors

Publication Details

Published
2025-09-28
DOI
https://doi.org/10.31234/osf.io/vmyek_v1
Citations
3
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
4.29

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article

Sycophantic AI increases attitude extremity and overconfidence

Laura K. Globig, Victoria Oldemburgo de Mello, Raunak M. Pillai, Jay Joseph Van Bavel et al.
3 citations
EEG and Brain-Computer Interfaces
4.29
article

Sycophantic AI increases attitude extremity and overconfidence

Laura K. Globig, Victoria Oldemburgo de Mello, Raunak M. Pillai, Jay Joseph Van Bavel, Steve Rathje, M Ye
article en
3 citations

Abstract

AI chatbots have been shown to be successful tools for persuasion. However, people may prefer to use chatbots that validate, rather than challenge, their pre-existing beliefs. This preference for “sycophantic” (or overly agreeable and validating) chatbots may entrench beliefs and make it challenging to deploy AI systems that open people up to new perspectives. Across three experiments (n = 3,285) involving four political topics and four large language models, we found that people consistently preferred and chose to interact with sycophantic AI models over disagreeable chatbots that challenged their beliefs. Brief conversations with sycophantic chatbots increased attitude extremity and certainty, whereas disagreeable chatbots decreased attitude extremity and certainty. Sycophantic chatbots also inflated people’s perception that they are “better than average” on a number of desirable traits (e.g., intelligence, empathy). Furthermore, people viewed sycophantic chatbots as unbiased, but viewed disagreeable chatbots as highly biased. Sycophantic chatbots’ impact on attitude extremity and certainty was driven by a one-sided presentation of facts, whereas their impact on enjoyment was driven by validation. Altogether, these results suggest that people’s preference for and blindness to sycophantic AI may risk creating AI “echo chambers” that increase attitude extremity and overconfidence.

National Science Foundation, Roddenberry Foundation, Templeton World Charity Foundation, Stanford Bio-X
Openalex Percentile: Top 5%
EEG and Brain-Computer Interfaces
4.29
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Sycophantic AI increases attitude extremity and overconfidence — Laura K. Globig, Victoria Oldemburgo de Mello, et al. · (2025) | TGRS Research Map | TGRS