Machine individuality: Separating genuine idiosyncrasy from response bias in large language models

Researchers discover stable, unique personality fingerprints in large language models beyond mere response bias.

As large language models (LLMs) are increasingly integrated into daily life, in roles ranging from high-stakes decision support to companionship, understanding their behavioral dispositions becomes critical. A growing literature uses psychometric inventories and cognitive paradig...

ArXiv CS.AI2026-04-21