Can AI language models replace human participants?

被引：92

作者：

Dillion, Danica ^{[1
]}

Tandon, Niket ^{[2
]}

Gu, Yuling ^{[2
]}

Gray, Kurt ^{[1
]}

机构：

[1] Univ N Carolina, Dept Psychol & Neurosci, Chapel Hill, NC 27599 USA

[2] Allen Inst AI, Seattle, WA 98103 USA

来源：

TRENDS IN COGNITIVE SCIENCES | 2023年 / 27卷 / 07期

关键词：

D O I：

10.1016/j.tics.2023.04.008

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Recent work suggests that lan-guage models such as GPT can make human-like judgments across a number of domains. We explore whether and when language models might replace human participants in psychological science. We review nascent research, provide a theoret-ical model, and outline caveats of using AI as a participant.

引用

页码：597 / 600

页数：4

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