Artificial Intelligence and Facial Recognition in an IoT Ecosystem

IF 0.2 Q4 POLITICAL SCIENCE
Nicola Fabiano
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引用次数: 0

Abstract

This article does not deepen the insight on technical aspects related to artificial intelligence and facial recognition, but it highlights how relevant privacy aspects are also inside an IoT ecosystem. Furthermore, the author points out the risks of some resources found online, exposing face images, in the compliance with GDPR and privacy rules process. Indeed, adopting artificial intelligence to realize human face images of people who do not exist but realized starting from real persons can have consequences on data protection rules and the possible misuse by everyone who can retrieve them. Artificial intelligence might foster synthetic identity, or, better, artificial intelligence synthetic identity cases, building human profiles using particulars belonging to different persons. The author proposes an approach based on the innovative data protection and privacy relationships model (DAPPREMO) to address any activity or process related to data protection and privacy due to having a broader view of any investigation's subject.
物联网生态系统中的人工智能和面部识别
本文并没有深入了解与人工智能和面部识别相关的技术方面,但它强调了在物联网生态系统中相关的隐私方面是如何存在的。此外,作者还指出了在遵守GDPR和隐私规则的过程中,在网上找到的一些资源,暴露人脸图像的风险。的确,采用人工智能来实现不存在的人的人脸图像,但从真实的人开始实现,可能会对数据保护规则产生影响,并可能被每个可以检索到这些图像的人滥用。人工智能可能会培育合成身份,或者更好地说,人工智能合成身份案例,使用属于不同人的细节来构建人类档案。作者提出了一种基于创新数据保护和隐私关系模型(DAPPREMO)的方法,以解决与数据保护和隐私相关的任何活动或过程,因为对任何调查主题都有更广泛的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
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