Polite AI mitigates user susceptibility to AI hallucinations

With their increased capability, AI-based chatbots have become increasingly popular tools to help users answer complex queries. However, these chatbots may hallucinate, or generate incorrect but very plausible-sounding information, more frequently than previously thought. Thus, it is crucial to examine strategies to mitigate human susceptibility to hallucinated output. In a between-subjects experiment, participants completed a difficult quiz with assistance from either a polite or neutral-toned AI chatbot, which occasionally provided hallucinated (incorrect) information. Signal detection analysis revealed that participants interacting with polite-AI showed modestly higher sensitivity in detecting hallucinations and a more conservative response bias compared to those interacting with neutral-toned AI. While the observed effect sizes were modest, even small improvements in users' ability to detect AI hallucinations can have significant consequences, particularly in high-stakes domains or when aggregated across millions of AI interactions.

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Publication Details

Journal
Ergonomics
Published
2024-11-28
DOI
https://doi.org/10.1080/00140139.2024.2434604
Citations
9
Primary Topic
Neural and Behavioral Psychology Studies
Type
article
Field-Weighted Citation Impact
3.08
Controls
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article

Polite AI mitigates user susceptibility to AI hallucinations

Anne Collins McLaughlin, Ericka Rovira, Richard Pak
9 citations
Ergonomics
Neural and Behavioral Psychology Studies
3.08
article

Polite AI mitigates user susceptibility to AI hallucinations

Anne Collins McLaughlin, Ericka Rovira, Richard Pak
article en
9 citations

Abstract

With their increased capability, AI-based chatbots have become increasingly popular tools to help users answer complex queries. However, these chatbots may hallucinate, or generate incorrect but very plausible-sounding information, more frequently than previously thought. Thus, it is crucial to examine strategies to mitigate human susceptibility to hallucinated output. In a between-subjects experiment, participants completed a difficult quiz with assistance from either a polite or neutral-toned AI chatbot, which occasionally provided hallucinated (incorrect) information. Signal detection analysis revealed that participants interacting with polite-AI showed modestly higher sensitivity in detecting hallucinations and a more conservative response bias compared to those interacting with neutral-toned AI. While the observed effect sizes were modest, even small improvements in users' ability to detect AI hallucinations can have significant consequences, particularly in high-stakes domains or when aggregated across millions of AI interactions.

ErgonomicsVol. 68(10)
North Carolina State University (US), United States Military Academy (US), Clemson University (US)
Openalex Percentile: Top 8%
Neural and Behavioral Psychology Studies
3.08
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Polite AI mitigates user susceptibility to AI hallucinations — Anne Collins McLaughlin, Ericka Rovira, et al. · Ergonomics (2024) | TGRS Research Map | TGRS