数据保护影响评估:一种元监管方法

Reuben Binns
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引用次数: 34

摘要

•隐私和数据保护影响评估(PIAs/DPIAs)是组织管理隐私风险的工具。从20世纪80年代开始,它们出现在各个司法管辖区,最初是一项纯粹的自愿措施。根据欧洲通用数据保护条例(GDPR), DPIAs现在已成为某些情况下的强制性要求。本文从监管理论的角度论述了影响评估。它们从自愿工具向强制性要求的转变引发了对其目的和作用的质疑,以及对欧洲更普遍的数据保护方向的影响。•以前的分析倾向于根据一组有限的监管类别来评估这种影响评估,即自我监管、命令和控制监管或某种形式的“共同监管”。根据监管理论,本文建议对GDPR中概述的强制性影响评估制度进行更细致入微的描述。•它认为这种制度可以被理解为一种“元监管”形式。最后一节借鉴了评估元监管前景的框架,以评估影响评估的元监管方法的前景。
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Data Protection Impact Assessments: A Meta-Regulatory Approach
• Privacy and Data Protection Impact Assessments (PIAs/DPIAs) are tools for organisations to manage privacy risks. They emerged in various jurisdictions from the 1980s, initially as a purely voluntary measure. DPIAs are now set to become a mandatory requirement in certain circumstances under the European General Data Protection Regulation (GDPR). This article addresses impact assessments from the perspective of regulatory theory. Their transition from a voluntary tool to a mandatory requirement raises questions about their purpose and role, as well as implications for the direction of data protection in Europe more generally. • Previous analyses have tended to assess such impact assessments in relation to a limited set of regulatory categories, namely self-regulation, command-and-control regulation, or some form of 'co-regulation'. Drawing from regulatory theory, this article suggests a more nuanced account of the mandatory impact assessment regime outlined in the GDPR. • It argues that this regime can be understood as a form of 'meta-regulation'. The final section draws on a framework for assessing the prospects of meta-regulation, in order to assess the prospects for a meta-regulatory approach to impact assessments.
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