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Despite sycophantic AI’s reduction of prosocial intentions, people also preferred it and trusted it more. This reveals a tension: AI is rewarded for telling us what we want to hear (immediate user satisfaction), even when it may harm our relationships.
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There is currently little incentive for developers to reduce sycophancy. Our work is a call to action: we need to learn from the social media era and actively consider long-term wellbeing in AI development and deployment. Read our preprint: arxiv.org/pdf/2510.01395
While our work focuses on interpersonal advice-seeking, concurrent work by @steverathje.bsky.social @jayvanbavel.bsky.social et al. finds similar patterns for political topics, where sycophantic AI also led to more extreme attitudes when users discussed gun control, healthcare, immigration, etc.!
Was a blast working on this with @cinoolee.bsky.social @pranavkhadpe.bsky.social, Sunny Yu, Dyllan Han, and @jurafsky.bsky.social !!! So lucky to work with this wonderful interdisciplinary team!!💖✨