Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making
CoRR(2024)
摘要
AI assistance in decision-making has become popular, yet people's
inappropriate reliance on AI often leads to unsatisfactory human-AI
collaboration performance. In this paper, through three pre-registered,
randomized human subject experiments, we explore whether and how the provision
of second opinions may affect decision-makers' behavior and performance in
AI-assisted decision-making. We find that if both the AI model's decision
recommendation and a second opinion are always presented together,
decision-makers reduce their over-reliance on AI while increase their
under-reliance on AI, regardless whether the second opinion is generated by a
peer or another AI model. However, if decision-makers have the control to
decide when to solicit a peer's second opinion, we find that their active
solicitations of second opinions have the potential to mitigate over-reliance
on AI without inducing increased under-reliance in some cases. We conclude by
discussing the implications of our findings for promoting effective human-AI
collaborations in decision-making.
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