Large Language Models increasingly mediate high-stakes interactions, intensifying research on their capabilities and safety. While recent work has shown that LLMs exhibit consistent and measurable synthetic personality traits, little is known about how modulating these traits affects model behavior. We address this gap by investigating how psychometric personality control grounded in the Big Five framework influences AI behavior in the context of capability and safety benchmarks. Our experiments reveal striking effects: for example, reducing conscientiousness leads to significant drops in safety-relevant metrics on benchmarks such as WMDP, TruthfulQA, ETHICS, and Sycophancy as well as reduction in general capabilities as measured by MMLU. These findings highlight personality shaping as a powerful and underexplored axis of model control that interacts with both safety and general competence. We discuss the implications for safety evaluation, alignment strategies, steering model behavior after deployment, and risks associated with possible exploitation of these findings. Our findings motivate a new line of research on personality-sensitive safety evaluations and dynamic behavioral control in LLMs.
Generative Personality Simulation via Theory-Informed Structured Interview
Department of Psychological Sciences & 2 Department of Computer Science, Rice University（1 心理学系 & 2 计算机科学系，莱斯大学）；Department of Electrical and Computer Engineering, Northeastern University（3 电气与计算机工程系，东北大学）；Department of Computer Science, Johns Hopkins University（4 计算机科学系，约翰霍普金斯大学）；Microsoft Research Asia（微软亚洲研究院）
Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins
Yulin AI-Enhanced HealthCare Lab（云林人工智能增强医疗实验室）；School of Nursing, Fudan University（复旦大学护理学院）；School of Nursing, Medical College of Soochow University（苏州大学医学院护理学院）；School of Nursing, Dali University（大理大学护理学院）；Department of Advanced Interdisciplinary Studies, The University of Tokyo（东京大学先进跨学科研究部）；The First Affiliated Hospital of Soochow University（苏州大学第一附属医院）；Department of Nursing, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University（江西医学院护理部，南昌大学第一附属医院）；School of Social Development, East China University of Political Science and Law（中国政法大学社会发展学院）；Rory Meyers College of Nursing, New York University（纽约大学 Rory Meyers 护理学院）；New York University Shanghai（纽约大学上海校区）
Evaluating and Inducing Personality in Pre-trained Language Models
Institute for Artificial Intelligence, Peking University（北京大学人工智能研究院）；Yuanpei College, Peking University（北京大学元培学院）；National Key Laboratory of General Artificial Intelligence, BIGAI（北京通用人工智能研究院通用人工智能全国重点实验室）；Beijing Jiaotong University（北京交通大学）
Automatic Item Generation for Personality Situational Judgment Tests with Large Language Models
Beijing Normal University（北京师范大学）；Central China Normal University（华中师范大学）；Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education（教育部青少年网络心理与行为重点实验室）；Beijing Key Laboratory of Applied Experimental Psychology（北京市应用实验心理学重点实验室）；Research Center for Capacity Building in Educational Assessment and Evaluation (Beijing Higher Education Innovation Center for Philosophy and Social Sciences)（教育评价与评估能力建设研究中心（北京高等教育哲学社会科学创新中心））
Neural network embeddings recover value dimensions from psychometric survey items on par with human data
Barcelona Supercomputing Center（巴塞罗那超级计算中心）；Jam Technologies GmbH；University of Mannheim（曼海姆大学）；GESIS - Leibniz Institute for the Social Sciences（莱布尼茨社会科学研究所）
Predicting the Big Five Personality Traits in Chinese Counselling Dialogues Using Large Language Models
Zhejiang University（浙江大学）；School of Engineering, Westlake University（西湖大学工程学院）；Westlake University（西湖大学）；School of Early Childhood Education, Hangzhou Polytechnic（杭州职业技术学院幼儿教育学院）
Scaling Law in LLM Simulated Personality: More Detailed and Realistic Persona Profile Is All You Need
Department of Computer；Information Engineering, Hebei Petroleum University of Technology, Chengde, China (e-mail；School of Computer Science \& Technology, Beijing Institute of Technology, Beijing, China (e-mail
Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement
State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University（一般人工智能国家重点实验室，智能科学与技术学院，北京大学）；School of Psychological and Cognitive Sciences, Peking University（心理学与认知科学学院，北京大学）；Key Laboratory of Machine Perception (Ministry of Education), Peking University（机器感知重点实验室（教育部），北京大学）
Intrinsic Guardrails: How Semantic Geometry of Personality Interacts with Emergent Misalignment in LLMs
International Institute of Information Technology, Hyderabad（国际信息研究所，海得拉巴）；Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi（Mohamed bin Zayed人工智能大学，阿布扎比）
Human Psychometric Questionnaires Mischaracterize LLM Behavior
Graduate School of Data Science, Seoul National University（首尔国立大学数据科学研究生院）；Department of Communication, Interdisciplinary Program in Artificial Intelligence, Seoul National University（首尔国立大学通信系人工智能交叉学科项目）
