Panel and attendees press DOE on model hallucination and verification; formal validation emphasized
Researchers raised model 'hallucination' and validation as key risks for agentic science; panelists said verification tools, formal methods and tightly coupled HPC-experiment loops are part of the solution.
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Multiple attendees raised concerns about model confidence and the risk of AI 'hallucinations' producing convincing but incorrect scientific outputs. Jan Vanauer (Stony Brook University) and others argued models should communicate uncertainty and confidence metrics to guide validation. "Maybe the platform can encourage that models actually give you a confidence score," Vanauer said.
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