{"title":"Trustworthy AI Means Public AI [Last Word]","authors":"Bruce Schneier","doi":"10.1109/msec.2023.3301262","DOIUrl":null,"url":null,"abstract":"Back in 1998, Sergey Brin and Larry Page introduced the Google search engine in an academic paper that questioned the ad-based business model of the time. They wrote: “We believe the issue of advertising causes enough mixed incentives that it is crucial to have a competitive search engine that is transparent and in the academic realm.” Although they didn’t use the word, their argument was that a search engine that could be paid to return particular URLs is fundamentally less trustworthy. “Advertising income often provides an incentive to provide poor quality search results.”","PeriodicalId":13152,"journal":{"name":"IEEE Security & Privacy","volume":"22 3","pages":"0"},"PeriodicalIF":2.9000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Security & Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/msec.2023.3301262","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Back in 1998, Sergey Brin and Larry Page introduced the Google search engine in an academic paper that questioned the ad-based business model of the time. They wrote: “We believe the issue of advertising causes enough mixed incentives that it is crucial to have a competitive search engine that is transparent and in the academic realm.” Although they didn’t use the word, their argument was that a search engine that could be paid to return particular URLs is fundamentally less trustworthy. “Advertising income often provides an incentive to provide poor quality search results.”
期刊介绍:
IEEE Security & Privacy’s primary objective is to stimulate and track advances in security, privacy, and dependability and present these advances in a form that can be useful to a broad cross-section of the professional community—ranging from academic researchers to industry practitioners. It provides articles with both a practical and research bent by the top thinkers in the field of security and privacy, along with case studies, surveys, tutorials, columns, and in-depth interviews and podcasts for the information security industry.
Through special issues, the magazine explores other timely aspects of privacy in areas such as usable security, the Internet of Things, cloud computing, cryptography, and big data. Other popular topics include software, hardware, network, and systems security, privacy-enhancing technologies, data analytics for security and privacy, wireless/mobile and embedded security, security foundations, security economics, privacy policies, integrated design methods, sociotechnical aspects, and critical infrastructure. In addition, the magazine accepts peer-reviewed articles of wide interest under a general call, and also features regular columns on hot topics and interviews with luminaries in the field.