Motoki, Fabio; Pinho Neto, Valdemar; Rodrigues, Victor - 2023
A standing issue is how to measure bias in Large Language Models (LLMs) like ChatGPT. We devise a novel method of sampling, bootstrapping, and impersonation that addresses concerns about the inherent randomness of LLMs and test if it can capture political bias in ChatGPT. Our results indicate...