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OUP accepted manuscript OUP接受稿件
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2021-01-01 DOI: 10.1093/idpl/ipab025
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引用次数: 2
Algorithmic impact assessments under the GDPR: producing multi-layered explanations GDPR下的算法影响评估:产生多层次解释
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-12-06 DOI: 10.1093/idpl/ipaa020
Kaminski M, Malgieri G.
Key Points
  • Policymakers, scholars, and commentators are increasingly concerned with the risks of using algorithms for profiling and automated decision-making.
  • This article addresses how a Data Protection Impact Assessment (DPIA), applied as an algorithmic impact assessment (AIA), links the two faces of the General Data Protection Regulation (GDPR) approach to algorithmic accountability: individual rights and systemic governance.
  • We propose that AIAs simultaneously provide systemic governance of algorithmic decision-making and serve as an important ‘suitable safeguard’ (Article 22) of individual rights.
  • As a nexus between the GDPR’s two approaches to algorithmic accountability, DPIAs have a heretofore unexplored link to individual transparency rights.
  • Our examination of DPIAs suggests that the current focus on the right to explanation is far too narrow. We call, instead, for data controllers to consciously use the mandatory DPIA process to produce what we call ‘multi-layered explanations’ of algorithmic systems.
  • This concept of multi-layered explanations not only more accurately describes what the GDPR is attempting to do, but also normatively fills potential gaps between the GDPR’s two approaches to algorithmic accountability.
政策制定者、学者和评论员越来越关注使用算法进行分析和自动决策的风险。本文讨论了作为算法影响评估(AIA)应用的数据保护影响评估(DPIA)如何将通用数据保护条例(GDPR)方法的两个方面与算法问责制联系起来:个人权利和系统治理。我们建议AIAs同时提供对算法决策的系统治理，并作为个人权利的重要“适当保障”(第22条)。作为GDPR两种算法问责制方法之间的纽带，DPIAs与个人透明度权利之间存在着迄今未被探索的联系。我们对DPIAs的研究表明，目前对解释权的关注过于狭隘。相反，我们呼吁数据控制者有意识地使用强制性的DPIA过程来产生我们所谓的算法系统的“多层解释”。这种多层次解释的概念不仅更准确地描述了GDPR试图做的事情，而且还在规范上填补了GDPR两种算法问责制方法之间的潜在空白。
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引用次数: 0
Autonomous transport vehicles versus the principles of data protection law: is compatibility really an impossibility? 自动驾驶交通工具与数据保护法的原则:兼容性真的不可能吗?
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-11-28 DOI: 10.1093/idpl/ipaa017
E. Salami
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引用次数: 0
The right to compensation of a competitor for a violation of the GDPR 竞争对手因违反GDPR而获得赔偿的权利
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-11-01 DOI: 10.1093/idpl/ipaa018
Tim F Walree, P.T.J. Wolters
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引用次数: 2
Decentralized data processing: personal data stores and the GDPR 去中心化数据处理:个人数据存储和GDPR
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-11-01 DOI: 10.1093/idpl/ipaa016
H. Janssen, Jennifer Cobbe, Chris Norval, Jatinder Singh
Online services are driven by data; functionality and value are derived from its processing. However, individuals generally have little visibility—let alone control— over what, how, why, and by whom their data are captured, analysed, transferred, stored, or otherwise used. In response to this, and to the growing public discourse regarding data-related issues, there is considerable focus by the computer science and engineering communities on developing privacy-enhancing technologies (PETs), ie technical tools and measures that can assist in addressing privacy concerns. Personal data stores (PDSs) are one such technology, which aims to tackle Key Points
在线服务是由数据驱动的;功能和价值来源于它的加工。然而，个人通常对他们的数据被什么、如何、为什么以及由谁捕获、分析、传输、存储或以其他方式使用几乎没有可视性，更不用说控制了。针对这一点，以及公众对数据相关问题的讨论日益增多，计算机科学和工程界相当重视开发增强隐私技术(pet)，即有助于解决隐私问题的技术工具和措施。个人数据存储(pds)就是这样一种技术，旨在解决关键问题
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引用次数: 7
Who is responsible for data processing in smart homes? Reconsidering joint controllership and the household exemption 智能家居中的数据处理由谁来负责?重新考虑共同控制人和家庭豁免
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-09-02 DOI: 10.1093/idpl/ipaa011
Jiahong Chen, Lilian Edwards, Lachlan Urquhart, Derek McAuley
The growing industrial and research interest in protecting privacy and fighting cyberattacks for smart homes has sparked various innovations in security- and privacy-enhancing technologies (S/PETs) powered by edge computing. The complex technical set-up has however raised a whole series of legal issues surrounding the regulation of smart home with data protection law. To determine how responsibility and accountability should be fairly assumed by stakeholders, there is a pressing need to first clarify the roles of these parties within the existing data protection data protection legal framework. This article focuses on two legal concepts under the GDPR as the mechanisms to (dis)assign responsibilities to various categories of entities in a domestic IoT context: joint controllership and the household exemption. A close examination of the relevant provisions and case-law shows a widening notion of joint controllership and a narrowing scope for the household exemption. While this interpretative approach may prevent evasion of accountability in specific cases, it may lead to the unintended consequence of imposing disproportionate compliance burdens on developers, contributors, and users of smart home safety technologies. By discouraging users to adopt S/PETs, data protection law may likely lead to a lower level of privacy and security protection. The differential responsibilities among joint controllers as envisaged in case-law may reconcile the tensions to some degree, but certain limitations remain. The regulatory dilemma in this regard highlights some underlying assumptions of data protection law that are no longer valid with regard to a smart home, and thus calls for further conceptual and empirical studies on fair reassignment of responsibility and accountability in a domestic IoT setting.
工业和研究领域对保护隐私和打击智能家居网络攻击的兴趣日益浓厚，引发了以边缘计算为动力的安全和隐私增强技术(S/ pet)的各种创新。然而，复杂的技术设置引发了一系列围绕数据保护法监管智能家居的法律问题。为了确定利益相关者应该如何公平地承担责任和问责，首先迫切需要澄清这些各方在现有数据保护法律框架内的角色。本文侧重于GDPR下的两个法律概念，作为在国内物联网背景下对各类实体(非)分配责任的机制:共同控制权和家庭豁免。对有关规定和判例法的仔细审查表明，共同控制人的概念在扩大，家庭豁免的范围在缩小。虽然这种解释方法可以防止在特定情况下逃避责任，但它可能会导致意想不到的后果，给智能家居安全技术的开发人员、贡献者和用户施加不成比例的合规负担。通过阻止用户采用S/ pet，数据保护法可能会导致较低的隐私和安全保护水平。判例法中设想的共同控制人之间的责任差别可能在某种程度上调和这种紧张关系，但仍然存在某些限制。这方面的监管困境凸显了数据保护法的一些基本假设，这些假设在智能家居方面不再有效，因此需要对国内物联网环境中责任和问责的公平重新分配进行进一步的概念和实证研究。
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引用次数: 0
Brendan Van Alsenoy, Data Protection Law in the EU: Roles, Responsibilities and Liability Brendan Van Alsenoy，欧盟数据保护法:角色、责任和责任
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-08-26 DOI: 10.1093/idpl/ipaa014
Dimitra Kamarinou
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引用次数: 1
The normative power of the EU: a case study of data protection laws of Turkey 欧盟的规范性权力:以土耳其数据保护法为例
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-08-24 DOI: 10.1093/idpl/ipaa013
B. Gur
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引用次数: 0
How to de-identify personal data in South Korea: an evolutionary tale 如何在韩国去识别个人数据:一个进化的故事
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-08-02 DOI: 10.1093/idpl/ipaa015
Haksoo Ko
In early 2020, South Korea’s legislature made amendments to major laws in the area of data protection in order to, among others, promote the utilization of pseudonymised personal data. With these amendments, pseudonymised personal data can be processed, without consent from data subjects, for archiving purposes, scientific research purposes, or statistical purposes. Arguably, these amendments are largely inspired by the relevant provisions contained in the EU GDPR, although details differ between GDPR and South Korea’s amended statutes. One unique aspect of South Korea’s amended statutes is that they introduce a scheme under which designated agencies carry out the task of combining pseudonymised data that different entities possess.
2020年初，韩国立法机构对数据保护领域的主要法律进行了修订，以促进对假名个人数据的利用。有了这些修订，假名化的个人数据可以在不征得数据主体同意的情况下被处理，用于存档、科学研究或统计目的。可以说，这些修正案很大程度上受到了欧盟GDPR中相关条款的启发，尽管GDPR和韩国修订后的法规在细节上有所不同。韩国修订后的法规的一个独特之处在于，它们引入了一项计划，根据该计划，指定机构将不同实体拥有的假名数据组合起来。
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引用次数: 1
Mere access to personal data: is it processing? 仅仅访问个人数据:这是处理吗?
IF 2.1 4区 社会学 Q1 LAW
International Data Privacy Law
Pub Date : 2020-08-01 DOI: 10.1093/idpl/ipaa005
A. Schreiber
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引用次数: 0
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