  Personality psychologists have analyzed the relationship between personality
and safety behaviors in human society. Although Large Language Models (LLMs)
demonstrate personality traits, the relationship between personality traits and
safety abilities in LLMs still remains a mystery. In this paper, we discover
that LLMs' personality traits are closely related to their safety abilities,
i.e., toxicity, privacy, and fairness, based on the reliable MBTI-M scale.
Meanwhile, the safety alignment generally increases various LLMs' Extraversion,
Sensing, and Judging traits. According to such findings, we can edit LLMs'
personality traits and improve their safety performance, e.g., inducing
personality from ISTJ to ISTP resulted in a relative improvement of
approximately 43% and 10% in privacy and fairness performance, respectively.
Additionally, we find that LLMs with different personality traits are
differentially susceptible to jailbreak. This study pioneers the investigation
of LLM safety from a personality perspective, providing new insights into LLM
safety enhancement.
