{"title":"When ignorance induces reliance: The role of epistemic knowledge about generative AI in changing health-related decision-making.","authors":"Inbal Klein-Avraham, Ayelet Baram-Tsabari","doi":"10.1177/09636625261442388","DOIUrl":null,"url":null,"abstract":"<p><p>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 (<i>n</i> = 500) and Study II (<i>n</i> = 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.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261442388"},"PeriodicalIF":3.3000,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Understanding of Science","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/09636625261442388","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Public Understanding of Science is a fully peer reviewed international journal covering all aspects of the inter-relationships between science (including technology and medicine) and the public. Public Understanding of Science is the only journal to cover all aspects of the inter-relationships between science (including technology and medicine) and the public. Topics Covered Include... ·surveys of public understanding and attitudes towards science and technology ·perceptions of science ·popular representations of science ·scientific and para-scientific belief systems ·science in schools