A new research paper investigates whether large language models (LLMs) exhibit socio-cognitive effects similar to humans when placed in conversations with power imbalances. The study simulated multi-turn dialogues where LLMs were assigned high or low status personas, analyzing linguistic coordination, pronoun usage, persuasion success, and compliance with unsafe requests. Findings indicate that LLMs do display key socio-cognitive effects of power, though with some variability, linking these simulated interactions to both beneficial and potentially harmful behaviors. AI
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IMPACT Reveals potential for LLMs to exhibit human-like biases in power-imbalanced communication, highlighting risks for unsafe compliance.
RANK_REASON Academic paper published on arXiv detailing experimental findings. [lever_c_demoted from research: ic=1 ai=1.0]