The Differential Effects of AI Abstention on Advice Acceptance
4.00T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2610.27258.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA preregistered experiment compared AI advisors that selectively abstain from giving advice with those that always advise during repeated financial decisions. Abstention increased advice acceptance among users with high perceived expertise but decreased it among low-expertise users, driven by differential cognitive burden.
Why it mattersCounterintuitive finding that an AI's choice to stay silent affects users differently by expertise level. Directly relevant to designing AI agents integrated into decision workflows.
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