When ignorance induces reliance: The role of epistemic knowledge about generative AI in changing health-related decision-making.

IF 3.3 2区 文学 Q1 COMMUNICATION
Inbal Klein-Avraham, Ayelet Baram-Tsabari
{"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.

当无知导致依赖:关于生成式人工智能的认知知识在改变健康相关决策中的作用。
如今,越来越多、不分青红皂白地使用生成式人工智能来获取与科学相关的信息,这是一个令人严重关切的问题。在这里,我们研究了关于生成式人工智能的知识在个人参与人工智能生成的科学相关信息中的作用。具体来说,我们关注的是认识论人工智能知识之间的关系,关于表征人工智能输出的特征和构建过程,以及个人在接触人工智能生成的内容后改变饮食决定的可能性。研究I (n = 500)和研究II (n = 800)基于嵌入式性能任务的连续两项在线调查表明,较少的人工智能认知知识和对生成式人工智能的较高信任显著增加了改变决策和推理的可能性,通常与生成式人工智能的响应保持一致。人们也更有可能在信息可靠性线索的存在下改变他们的决定,比如两种一致的生成式人工智能反应,而不管是否符合专家的观点或是否存在可靠的来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.30
自引率
9.80%
发文量
80
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
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书