Agentic Uncertainty Reveals Agentic Overconfidence
By: Jean Kaddour, Srijan Patel, Gbètondji Dovonon, Leo Richter, Pasquale Minervini, Matt J. Kusner
Published: 2026-02-09
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Abstract
This paper explores the phenomenon of overconfidence in AI agents, using agentic uncertainty as a mechanism to identify and potentially mitigate it. Understanding and addressing overconfidence is crucial for building reliable and trustworthy autonomous AI systems in real-world applications.