Large Language Models Demonstrate Distinct Personality Profiles
Thomas F Heston, Justin Gillette

TL;DR
This study finds that different large language models show distinct personality traits, which could impact their use in clinical and mental health settings.
Contribution
The first psychometric analysis of LLM personality in a medical context using validated frameworks like OEJTS and Big Five.
Findings
LLMs show statistically significant differences in personality profiles using OEJTS and Big Five tests.
Gemini Advanced and Grok-Regular lean toward INFJ traits, while Claude 3 Opus is consistently INTJ.
Gemini scores lower on agreeableness and conscientiousness compared to other models.
Abstract
Introduction: Large language models (LLMs) are increasingly used in clinical medicine to provide emotional support, deliver cognitive-behavioral therapy, and assist in triage and diagnosis. However, as LLMs are integrated into mental health applications, assessing their personality expression and potential divergence from expected neutrality is critical for ensuring clinical safety and therapeutic appropriateness. This study provides the first psychometric analysis of LLM personality, specifically within a medical context, characterizing personality profiles using two validated frameworks: the Open Extended Jungian Type Scales (OEJTS) and the Big Five Personality Test. Methods: Four leading LLMs publicly available in April 2024 (ChatGPT-3.5 (OpenAI, San Francisco, CA, USA), Gemini Advanced (Google Inc., Mountain View, CA, USA), Claude 3 Opus (Anthropic, San Francisco, CA, USA), and…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsPersonality Traits and Psychology · Artificial Intelligence in Healthcare and Education · Artificial Intelligence in Education
