生成语法
无知
认识论
生成模型
可靠性(半导体)
心理学
社会学
认知科学
社会心理学
人工智能
决策论
计算机科学
不确定度量化
作者
Inbal Klein-Avraham,Ayelet Baram-Tsabari
标识
DOI:10.1177/09636625261442388
摘要
Today’s increasing and indiscriminate use of generative artificial intelligence to access science-related information is a serious cause for concern. Here, we investigated the role of knowledge about generative AI in individuals’ engagement with AI-generated science-related information. Specifically, we focused on the relationship between epistemic AI knowledge, regarding the features and construction processes that characterize AI output, and individuals’ likelihood of changing their dietary decisions following exposure to AI-generated content. Based on two consecutive online surveys with embedded performance tasks, Study I ( n = 500) and Study II ( n = 800) demonstrated that less epistemic AI knowledge and higher trust in generative AI significantly increase the likelihood of changing decisions and reasoning, often to align with the generative AI’s responses. People were also more likely to change their decision in the presence of information reliability cues such as two concordant generative AI responses, regardless of alignment with experts’ views or the presence of reliable sources.
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