Metacognition and Confidence Dynamics in Advice Taking from Generative AI
Clara Colombatto, Sean Rintel, Lev Tankelevitch
TL;DR
This paper investigates how prospective confidence in self and GenAI, along with retrospective confidence after task performance, orchestrate advice-taking from GenAI during a novel event-planning task. Through two preregistered studies—one allowing choice to seek advice and another randomizing exposure—the authors show that confidence in GenAI promotes advice-seeking and reliance, while confidence in one’s own abilities can suppress them; conversely, exposure to GenAI advice causally enhances retrospective confidence in both self and GenAI. The results also reveal metacognitive calibration effects: advice can improve task accuracy but often disrupt thorough verification, highlighting risks of over-reliance and misattribution of credit to AI. Collectively, the work delineates bidirectional metacognitive dynamics in human-genAI interaction and points to interventions to improve calibrated reliance in AI-assisted decision making.
Abstract
Generative Artificial Intelligence (GenAI) can aid humans in a wide range of tasks, but its effectiveness critically depends on users being able to evaluate the accuracy of GenAI outputs and their own expertise. Here we asked how confidence in self and GenAI contributes to decisions to seek and rely on advice from GenAI ('prospective confidence'), and how advice-taking in turn shapes this confidence ('retrospective confidence'). In a novel paradigm involving text generation, participants formulated plans for events, and could request advice from a GenAI (Study 1; N=200) or were randomly assigned to receive advice (Study 2; N=300), which they could rely on or ignore. Advice requests in Study 1 were related to higher prospective confidence in GenAI and lower confidence in self. Advice-seekers showed increased retrospective confidence in GenAI, while those who declined advice showed increased confidence in self. Random assignment in Study 2 revealed that advice exposure increases confidence in GenAI and in self, suggesting that GenAI advice-taking causally boosts retrospective confidence. These results were mirrored in advice reliance, operationalised as the textual similarity between GenAI advice and participants' responses, with reliance associated with increased retrospective confidence in both GenAI and self. Critically, participants who chose to obtain/rely on advice provided more detailed responses (likely due to the output's verbosity), but failed to check the output thoroughly, missing key information. These findings underscore a key role for confidence in interactions with GenAI, shaped by both prior beliefs about oneself and the reliability of AI, and context-dependent exposure to advice.
