AI Models Most Confident When Wrong, Qualitative Review Fails to Detect

Summary

An evaluation harness revealed that AI models, particularly large language models (LLMs), are often most confident when providing incorrect information, a flaw missed by qualitative reviews. This gap between 'sounds right' and 'is correct' poses significant risks for LLM-assisted enterprise tools that influence critical business decisions.