Large Language Models Generate False Information With Overconfident Justifications

Executive Summary

LLMs routinely produce fabricated facts, erroneous code, and false citations presented with unwarranted confidence, with medical misinformation posing acute harm risks. Organisations deploying these systems without mandatory human validation expose themselves to reputational, legal, and safety liability.