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Polite AI mitigates user susceptibility to AI hallucinations.

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Polite AI chatbots may help users better detect incorrect information. Even small improvements in identifying AI hallucinations are significant for user trust and safety.

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Area of Science:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Cognitive Psychology

Background:

  • AI chatbots are increasingly capable tools for complex queries.
  • AI chatbots are prone to 'hallucinations'—generating plausible but incorrect information.
  • Mitigating human susceptibility to AI hallucinations is crucial.

Purpose of the Study:

  • To investigate if chatbot tone influences users' ability to detect AI-generated hallucinations.
  • To examine the impact of polite versus neutral AI chatbot interactions on hallucination detection.

Main Methods:

  • A between-subjects experiment was conducted.
  • Participants used either a polite or neutral-toned AI chatbot to complete a difficult quiz.
  • The AI chatbots occasionally provided hallucinated (incorrect) information.
  • Signal detection analysis was used to assess user performance.

Main Results:

  • Participants interacting with polite AI demonstrated modestly higher sensitivity in detecting hallucinations.
  • Users interacting with polite AI exhibited a more conservative response bias compared to those with neutral AI.
  • Effect sizes for improved detection and bias were modest.

Conclusions:

  • Chatbot interaction tone, specifically politeness, may offer a slight advantage in users' ability to discern AI hallucinations.
  • Even modest improvements in detecting AI errors have significant implications, especially in critical applications.
  • Further research is warranted to explore strategies for enhancing AI hallucination detection in diverse user contexts.