E. Raybourn, Nathan Fabian, Warren Davis, R. C. Parks, J. T. McClain, D. Trumbo, Damon Regan, P. Durlach
{"title":"个人学习助理的资料私隐及保安注意事项","authors":"E. Raybourn, Nathan Fabian, Warren Davis, R. C. Parks, J. T. McClain, D. Trumbo, Damon Regan, P. Durlach","doi":"10.1145/2732158.2732195","DOIUrl":null,"url":null,"abstract":"A hypothetical scenario is utilized to explore privacy and security considerations for intelligent systems, such as a Personal Assistant for Learning (PAL). Two categories of potential concerns are addressed: factors facilitated by user models, and factors facilitated by systems. Among the strategies presented for risk mitigation is a call for ongoing, iterative dialog among privacy, security, and personalization researchers during all stages of development, testing, and deployment.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Data Privacy and Security Considerations for Personal Assistants for Learning (PAL)\",\"authors\":\"E. Raybourn, Nathan Fabian, Warren Davis, R. C. Parks, J. T. McClain, D. Trumbo, Damon Regan, P. Durlach\",\"doi\":\"10.1145/2732158.2732195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A hypothetical scenario is utilized to explore privacy and security considerations for intelligent systems, such as a Personal Assistant for Learning (PAL). Two categories of potential concerns are addressed: factors facilitated by user models, and factors facilitated by systems. Among the strategies presented for risk mitigation is a call for ongoing, iterative dialog among privacy, security, and personalization researchers during all stages of development, testing, and deployment.\",\"PeriodicalId\":177570,\"journal\":{\"name\":\"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2732158.2732195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2732158.2732195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
摘要
我们使用一个假设的场景来探索智能系统(如Personal Assistant for Learning (PAL))的隐私和安全考虑。处理了两类潜在的关注点:由用户模型促进的因素和由系统促进的因素。在提出的降低风险的策略中，有一项是呼吁在开发、测试和部署的所有阶段，在隐私、安全和个性化研究人员之间进行持续、迭代的对话。
Data Privacy and Security Considerations for Personal Assistants for Learning (PAL)
A hypothetical scenario is utilized to explore privacy and security considerations for intelligent systems, such as a Personal Assistant for Learning (PAL). Two categories of potential concerns are addressed: factors facilitated by user models, and factors facilitated by systems. Among the strategies presented for risk mitigation is a call for ongoing, iterative dialog among privacy, security, and personalization researchers during all stages of development, testing, and deployment.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
