期刊
JOURNAL OF LANGUAGE AND SOCIAL PSYCHOLOGY
卷 -, 期 -, 页码 -出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/0261927X231220404
关键词
artificial intelligence; large language models; truth-bias; deception detection; truth-default theory
Humans and AI both have a truth-bias, believing that most information is true.
Humans often display a truth-bias-the perception that others are honest independent of message veracity-but does this phenomenon extend to generative artificial intelligence (AI)? We had humans and large language models make nearly 1,000 veracity judgments across different prompts. Human detection accuracies were near chance (50%-53%) with notable truth-biases (59%-64%); AI had a substantially greater truth-bias than humans (67%-99%). GPT-4 was also truth-default, not suspecting deception when veracity assessments were unprompted. Together, people and AI judge most information to be true.
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