Accurate but Not Confident or Confident but Not Accurate? Cognitive Offloading Impairs Confidence Calibration in Human-AI Teams

Appropriate AI reliance requires users to accurately evaluate their own performance in order to discern whether to retain or defer responsibility. While underconfidence is a known driver of automation bias, little is known about how collaboration with AI itself influences users’ metacognition. We in