The Problem with Regulating Facial Recognition Technology in a Digital Culture of Visibility

IF 0.8 Q3 COMMUNICATION

Canadian Journal of Communication Pub Date : 2023-01-26 DOI:10.3138/cjc.2022-0030

Constantine Gidaris

引用次数: 0

Abstract

Background: Privacy regulations surrounding facial recognition technology (FRT) are not enough to protect the privacy of online users from FRT companies and law enforcement. Analysis: A case study analysis of the Royal Canadian Mounted Police’s (RCMP’s) use of Clearview AI reveals that police and FRT companies violate provincial and federal privacy regulations by scraping facial images from the internet without user consent. Conclusion and Implications: In the context of increased calls to further regulate FRT, this case study emphasizes that robust privacy protections extend beyond comprehensive privacy regulations, and must include fundamental changes to selfie, smartphone, and upgrade cultures.

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在可见性的数字文化中调节面部识别技术的问题

背景：围绕面部识别技术（FRT）的隐私法规不足以保护在线用户的隐私免受FRT公司和执法部门的侵犯。分析：对加拿大皇家骑警（RCMP）使用Clearview AI的案例分析显示，警方和FRT公司在未经用户同意的情况下从互联网上抓取面部图像，违反了省和联邦隐私法规。结论和启示：在进一步监管FRT的呼声越来越高的背景下，本案例研究强调，强有力的隐私保护超越了全面的隐私法规，必须包括对自拍、智能手机和升级文化的根本改变。

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

Canadian Journal of Communication COMMUNICATION-

CiteScore

0.80

自引率

20.00%

发文量

期刊介绍： The objective of the Canadian Journal of Communication is to publish Canadian research and scholarship in the field of communication studies. In pursuing this objective, particular attention is paid to research that has a distinctive Canadian flavour by virtue of choice of topic or by drawing on the legacy of Canadian theory and research. The purview of the journal is the entire field of communication studies as practiced in Canada or with relevance to Canada. The Canadian Journal of Communication is a print and online quarterly. Back issues are accessible with a 12 month delay as Open Access with a CC-BY-NC-ND license. Access to the most recent year''s issues, including the current issue, requires a subscription. Subscribers now have access to all issues online from Volume 1, Issue 1 (1974) to the most recently published issue.

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