{"title":"信任、经验和创新:影响美国人对人工智能态度的关键因素。","authors":"Risa Palm, Justin T Kingsland, Toby Bolsen","doi":"10.1177/09636625251372510","DOIUrl":null,"url":null,"abstract":"<p><p>A large survey of American adults explored the complex landscape of attitudes toward artificial intelligence (AI). It explored the degree of concern regarding specific potential outcomes of the new advances in AI technology and correlates of these concerns. Key variables associated with the direction and intensity of concern include prior experience using a large language model such as Chat GPT, general trust in science, adherence to the precautionary principle versus support for unrestricted innovation, and demographic factors such as gender. By identifying these relationships, the paper offers insights into the American public's response to AI that can inform the development of policies aimed at either regulating or encouraging its advancement.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625251372510"},"PeriodicalIF":3.3000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trust, experience, and innovation: Key factors shaping American attitudes about AI.\",\"authors\":\"Risa Palm, Justin T Kingsland, Toby Bolsen\",\"doi\":\"10.1177/09636625251372510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A large survey of American adults explored the complex landscape of attitudes toward artificial intelligence (AI). It explored the degree of concern regarding specific potential outcomes of the new advances in AI technology and correlates of these concerns. Key variables associated with the direction and intensity of concern include prior experience using a large language model such as Chat GPT, general trust in science, adherence to the precautionary principle versus support for unrestricted innovation, and demographic factors such as gender. By identifying these relationships, the paper offers insights into the American public's response to AI that can inform the development of policies aimed at either regulating or encouraging its advancement.</p>\",\"PeriodicalId\":48094,\"journal\":{\"name\":\"Public Understanding of Science\",\"volume\":\" \",\"pages\":\"9636625251372510\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-09-23\",\"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/10.1177/09636625251372510\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Understanding of Science","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/09636625251372510","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
Trust, experience, and innovation: Key factors shaping American attitudes about AI.
A large survey of American adults explored the complex landscape of attitudes toward artificial intelligence (AI). It explored the degree of concern regarding specific potential outcomes of the new advances in AI technology and correlates of these concerns. Key variables associated with the direction and intensity of concern include prior experience using a large language model such as Chat GPT, general trust in science, adherence to the precautionary principle versus support for unrestricted innovation, and demographic factors such as gender. By identifying these relationships, the paper offers insights into the American public's response to AI that can inform the development of policies aimed at either regulating or encouraging its advancement.
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