Advances in AI invite misuse of language models as replacements for human participants. We argue that treating their responses as glimpses into an average human mind fundamentally mischaracterizes these statistical algorithms and that language models should be embraced as flexible simulation tools, able to mimic diverse behaviors without possessing human traits themselves.

翻译：人工智能的进展诱使人们误将语言模型用作人类参与者的替代品。我们认为，将其响应视为平均人类心智的窥探从根本上误解了这些统计算法的本质，而语言模型应当被视为灵活的模拟工具，能够模仿多样化的行为，其本身并不具备人类特质。