Agentic AI in the Wild: From Hallucinations to Reliable Autonomy

Grigorios Chrysos, Yixuan Li, Etsuko Ishii, Xuefeng Du, Katia P. Sycara

Keywords: Agentic AI, hallucinations, uncertainty

Abstract:

When we delegate tasks to AI agents—can we count on them to get it right?
Agentic AI systems are increasingly stepping beyond static generation tasks into autonomous decision-making: scheduling meetings, booking travel, managing workflows, and assisting in scientific research. In these contexts, **reliability is not just important—it is essential**. Yet today’s foundation models remain prone to a critical failure mode: hallucination, where outputs are factually incorrect, semantically implausible, or detached from reality. While hallucinations are concerning in any generative system, these challenges are **amplified in agentic settings**, where models execute sequences of decisions without continuous human oversight.

Submission Number: 48