人工智能时代的隐私危机及其对策

Yinglan Zhao, Chi Gong, Yiying Wang
{"title":"人工智能时代的隐私危机及其对策","authors":"Yinglan Zhao, Chi Gong, Yiying Wang","doi":"10.1109/ICNISC54316.2021.00035","DOIUrl":null,"url":null,"abstract":"With the advent of the age of artificial intelligence, the privacy crisis has become a major challenge that people have to face. This paper first analyzes the status quo of artificial intelligence industry. Then by showing the data leakage problems in the current era of artificial intelligence, it analyzes the different hazards brought by the privacy crisis. Finally, this paper puts forward the legal channels and other channels to protect the right of privacy, and introduces the development of these channels.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Privacy Crisis in the Age of Artificial Intelligence and its Countermeasures\",\"authors\":\"Yinglan Zhao, Chi Gong, Yiying Wang\",\"doi\":\"10.1109/ICNISC54316.2021.00035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of the age of artificial intelligence, the privacy crisis has become a major challenge that people have to face. This paper first analyzes the status quo of artificial intelligence industry. Then by showing the data leakage problems in the current era of artificial intelligence, it analyzes the different hazards brought by the privacy crisis. Finally, this paper puts forward the legal channels and other channels to protect the right of privacy, and introduces the development of these channels.\",\"PeriodicalId\":396802,\"journal\":{\"name\":\"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC54316.2021.00035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC54316.2021.00035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着人工智能时代的到来,隐私危机已经成为人们不得不面对的重大挑战。本文首先分析了人工智能产业的现状。然后通过展示当前人工智能时代的数据泄露问题,分析隐私危机带来的不同危害。最后,本文提出了隐私权保护的法律渠道和其他渠道,并介绍了这些渠道的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Privacy Crisis in the Age of Artificial Intelligence and its Countermeasures
With the advent of the age of artificial intelligence, the privacy crisis has become a major challenge that people have to face. This paper first analyzes the status quo of artificial intelligence industry. Then by showing the data leakage problems in the current era of artificial intelligence, it analyzes the different hazards brought by the privacy crisis. Finally, this paper puts forward the legal channels and other channels to protect the right of privacy, and introduces the development of these channels.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Explore the Performance of Capsule Neural Network Learning Discrete Features Profiling Pumped Storage Power Station via Multi-Sequence Joint Regression Trajectory Tracking Technology for Crawler Rescue Robot Insight into the Inhibitory Activities of Diverse Ligands for Tyrosinase Using Molecular and Structure-based Features Design and Optimization of Ultrasonic Fatigue Specimen Based on ANSYS Modeling
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1