Do large language models keep the hedge? Uncertainty preservation when large language models summarize aviation and maritime incident reports
Safety-incident reports are written with deliberate epistemic caution: A reporter marks what was seen, what was inferred, and what remains unsure, and a dropped hedge can turn a tentative observation into an apparent cause. As large language models take over summarizing such reports for triage, indexing, and search, wh...