PsychologyPNAS Nexus
Metacognitive sensitivity: The key to calibrating trust and optimal decision making with AI
D. Lee, J. Pruitt, et al.
Research conducted by Doyeon Lee, Joseph Pruitt, Tianyu Zhou, Jing Du, and Brian Odegaard explores how AI-provided metacognitive sensitivity—such as confidence ratings—can help people calibrate trust and optimally incorporate AI advice. Drawing on seminal perceptual decision-making findings, the authors outline a framework to test how different AI information types guide human–AI joint decisions.
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