健康物联网中的人工智能:AI隐私的解决方案更AI吗?

Liane Colonna
{"title":"健康物联网中的人工智能:AI隐私的解决方案更AI吗?","authors":"Liane Colonna","doi":"10.2139/ssrn.3838571","DOIUrl":null,"url":null,"abstract":"The emerging power of Artificial Intelligence (AI), driven by the exponential growth in computer processing and the digitization of things, has the capacity to bring unfathomable benefits to society. In particular, AI promises to reinvent modern healthcare through devices that can predict, comprehend, learn, and act in astonishing and novel ways. While AI has an enormous potential to produce societal benefits, it will not be a sustainable technology without developing solutions to safeguard privacy while processing ever-growing sets of sensitive data.<br><br>This paper considers the tension that exists between privacy and AI and examines how AI and privacy can coexist, enjoying the advantages that each can bring. Rejecting the idea that AI means the end of privacy, and taking a technoprogressive stance, the paper seeks to explore how AI can be actively used to protect individual privacy. It contributes to the literature by reconfiguring AI not as a source of threats and challenges, but rather as a phenomenon that has the potential to empower individuals to protect their privacy.<br><br>The first part of the paper sets forward a brief taxonomy of AI and clarifies its role in the Internet of Health Things (IoHT). It then addresses privacy concerns that arise in this context. Next, the paper shifts towards a discussion of Data Protection by Design, exploring how AI can be utilized to meet this standard and in turn preserve individual privacy and data protection rights in the IoHT. Finally, the paper presents a case study of how some are actively using AI to preserve privacy in the IoHT.","PeriodicalId":179517,"journal":{"name":"Information Privacy Law eJournal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Artificial Intelligence in the Internet of Health Things: Is the Solution to AI Privacy More AI?\",\"authors\":\"Liane Colonna\",\"doi\":\"10.2139/ssrn.3838571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The emerging power of Artificial Intelligence (AI), driven by the exponential growth in computer processing and the digitization of things, has the capacity to bring unfathomable benefits to society. In particular, AI promises to reinvent modern healthcare through devices that can predict, comprehend, learn, and act in astonishing and novel ways. While AI has an enormous potential to produce societal benefits, it will not be a sustainable technology without developing solutions to safeguard privacy while processing ever-growing sets of sensitive data.<br><br>This paper considers the tension that exists between privacy and AI and examines how AI and privacy can coexist, enjoying the advantages that each can bring. Rejecting the idea that AI means the end of privacy, and taking a technoprogressive stance, the paper seeks to explore how AI can be actively used to protect individual privacy. It contributes to the literature by reconfiguring AI not as a source of threats and challenges, but rather as a phenomenon that has the potential to empower individuals to protect their privacy.<br><br>The first part of the paper sets forward a brief taxonomy of AI and clarifies its role in the Internet of Health Things (IoHT). It then addresses privacy concerns that arise in this context. Next, the paper shifts towards a discussion of Data Protection by Design, exploring how AI can be utilized to meet this standard and in turn preserve individual privacy and data protection rights in the IoHT. Finally, the paper presents a case study of how some are actively using AI to preserve privacy in the IoHT.\",\"PeriodicalId\":179517,\"journal\":{\"name\":\"Information Privacy Law eJournal\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Privacy Law eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3838571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Privacy Law eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3838571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在计算机处理和事物数字化的指数级增长的推动下,人工智能(AI)的新兴力量有能力为社会带来难以估量的利益。特别是,人工智能有望通过能够以惊人和新颖的方式预测、理解、学习和行动的设备来重塑现代医疗保健。虽然人工智能具有产生社会效益的巨大潜力,但如果不开发解决方案来保护隐私,同时处理不断增长的敏感数据集,它将不是一种可持续的技术。本文考虑了隐私和人工智能之间存在的紧张关系,并探讨了人工智能和隐私如何共存,享受各自带来的优势。本文反对人工智能意味着隐私终结的观点,并采取技术进步的立场,试图探索如何积极利用人工智能来保护个人隐私。它通过重新配置人工智能而不是将其视为威胁和挑战的来源,而是将其视为一种有可能赋予个人保护其隐私的现象,从而为文献做出了贡献。本文第一部分简要介绍了人工智能的分类,阐明了人工智能在健康物联网(IoHT)中的作用。然后,它解决了在这种情况下出现的隐私问题。接下来,本文转向讨论通过设计来保护数据,探索如何利用人工智能来满足这一标准,从而在物联网中保护个人隐私和数据保护权。最后,本文提出了一个案例研究,说明一些人如何积极使用人工智能来保护IoHT中的隐私。
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
Artificial Intelligence in the Internet of Health Things: Is the Solution to AI Privacy More AI?
The emerging power of Artificial Intelligence (AI), driven by the exponential growth in computer processing and the digitization of things, has the capacity to bring unfathomable benefits to society. In particular, AI promises to reinvent modern healthcare through devices that can predict, comprehend, learn, and act in astonishing and novel ways. While AI has an enormous potential to produce societal benefits, it will not be a sustainable technology without developing solutions to safeguard privacy while processing ever-growing sets of sensitive data.

This paper considers the tension that exists between privacy and AI and examines how AI and privacy can coexist, enjoying the advantages that each can bring. Rejecting the idea that AI means the end of privacy, and taking a technoprogressive stance, the paper seeks to explore how AI can be actively used to protect individual privacy. It contributes to the literature by reconfiguring AI not as a source of threats and challenges, but rather as a phenomenon that has the potential to empower individuals to protect their privacy.

The first part of the paper sets forward a brief taxonomy of AI and clarifies its role in the Internet of Health Things (IoHT). It then addresses privacy concerns that arise in this context. Next, the paper shifts towards a discussion of Data Protection by Design, exploring how AI can be utilized to meet this standard and in turn preserve individual privacy and data protection rights in the IoHT. Finally, the paper presents a case study of how some are actively using AI to preserve privacy in the IoHT.
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
Policy Responses to Cross-border Central Bank Digital Currencies – Assessing the Transborder Effects of Digital Yuan Artificial Intelligence in the Internet of Health Things: Is the Solution to AI Privacy More AI? Comments on GDPR Enforcement EDPB Decision 01/020 Privacy Rights and Data Security: GDPR and Personal Data Driven Markets Big Boss is Watching You! The Right to Privacy of Employees in the Context of Workplace Surveillance
×
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