{"title":"人工智能中的超然信任","authors":"Stephen L. Dorton","doi":"10.54941/ahfe1001451","DOIUrl":null,"url":null,"abstract":"There is a considerable body of research on trust in Artificial Intelligence (AI). Trust has been viewed almost exclusively as a dyadic construct, where it is a function of various factors between the user and the agent, mediated by the context of the environment. A recent study has found several cases of supradyadic trust interactions, where a user’s trust in the AI is affected by how other people interact with the agent, above and beyond endorsements or reputation. An analysis of these surpradyadic interactions is presented, along with a discussion of practical considerations for AI developers, and an argument for more complex representations of trust in AI.","PeriodicalId":405313,"journal":{"name":"Artificial Intelligence and Social Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Supradyadic Trust in Artificial Intelligence\",\"authors\":\"Stephen L. Dorton\",\"doi\":\"10.54941/ahfe1001451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a considerable body of research on trust in Artificial Intelligence (AI). Trust has been viewed almost exclusively as a dyadic construct, where it is a function of various factors between the user and the agent, mediated by the context of the environment. A recent study has found several cases of supradyadic trust interactions, where a user’s trust in the AI is affected by how other people interact with the agent, above and beyond endorsements or reputation. An analysis of these surpradyadic interactions is presented, along with a discussion of practical considerations for AI developers, and an argument for more complex representations of trust in AI.\",\"PeriodicalId\":405313,\"journal\":{\"name\":\"Artificial Intelligence and Social Computing\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence and Social Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54941/ahfe1001451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence and Social Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1001451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There is a considerable body of research on trust in Artificial Intelligence (AI). Trust has been viewed almost exclusively as a dyadic construct, where it is a function of various factors between the user and the agent, mediated by the context of the environment. A recent study has found several cases of supradyadic trust interactions, where a user’s trust in the AI is affected by how other people interact with the agent, above and beyond endorsements or reputation. An analysis of these surpradyadic interactions is presented, along with a discussion of practical considerations for AI developers, and an argument for more complex representations of trust in AI.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
