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
收藏
页码：597 / 600
页数：4
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