Personality Measurement

Personality measurement research is exploring how to reliably assess personality traits in both humans and large language models (LLMs), focusing on the validity and reliability of existing methods like self-assessment questionnaires and developing new approaches such as external evaluation using machine learning models. Current research investigates the consistency and potential biases in LLM personality assessments, examining factors like social desirability bias and the influence of prompting techniques. This work is crucial for understanding the behavior of LLMs, improving their design, and addressing ethical concerns surrounding their increasing integration into society.