Large language models (LLMs) and the institutionalization of misinformation

被引:4
|
作者
Garry, Maryanne [1 ]
Chan, Way Ming [1 ]
Foster, Jeffrey [2 ]
Henkel, Linda A. [3 ]
机构
[1] Univ Waikato, Psychol, Hamilton, New Zealand
[2] Macquarie Univ, Cybersecur Studies, Sydney, Australia
[3] Fairfield Univ, Psychol & Brain Sci, Fairfield, CT USA
关键词
TRUTH; ACCURACY; CONFIDENCE; RESISTANCE; FLUENCY; MEMORY;
D O I
10.1016/j.tics.2024.08.007
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
Large language models (LLMs), such as ChatGPT, flood the Internet with true and false information, crafted and delivered with techniques that psychological science suggests will encourage people to think that information is true. What's more, as people feed this misinformation back into the Internet, emerging LLMs will adopt it and feed it back in other models. Such a scenario means we could lose access to information that helps us tell what is real from unreal - to do 'reality monitoring.' If that happens, misinformation will be the new foundation we use to plan, to make decisions, and to vote. We will lose trust in our institutions and each other.
引用
收藏
页码:1078 / 1088
页数:11
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