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Algorithmic systems: the consent is in the detail?

机译：算法系统：同意详细介绍？

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摘要

Applications of algorithmically informed decisions are becoming entrenched in society, with data processing being their main process and ingredient. While these applications are progressively gaining momentum, established data protection and privacy rules have struggled to incorporate the particularities of data-intensive information societies. Consequently, there is a misalignment created between algorithmic processing of personal data and the corresponding regulatory frameworks since they both strive for meaningful control over personal data. However, the challenges to the traditional role and the concept of consent are particularly manifest. This article examines the transformation of consent in order to assess how the concept in itself as well as the applied models of consent can be reconciled to correspond not only to current data protection normative frameworks but also to algorithmic processing technologies. This particularly pressing area of safeguarding a fundamental aspect of individual control over personal data in the algorithmic era is interlinked with practical implementations of consent in the technology used. Moreover, it relates to adopted interpretations of the concept of consent, to the scope of application of personal data, as well as to the obligations enshrined in them. What makes consent efficient as a data protection tool? Can its previous glory be maintained within the current techno-legal challenges?
机译：算法知识决策的应用在社会中被侵犯，数据处理是它们的主要过程和成分。虽然这些应用程序正在逐步获得势头，但建立的数据保护和隐私规则仍在努力纳入数据密集型信息社团的特殊性。因此，在个人数据的算法处理和相应的监管框架之间存在未对准，因为它们都努力对个人数据有意义的控制。但是，对传统作用和同意概念的挑战尤其明显。本文介绍了同意的转型，以评估本身的概念以及所应用的同意模型，不仅可以调和，不仅对当前的数据保护规范框架，还可以对应于算法处理技术。这一特别压制保护各个控制的基本方面对算法时代的个人数据的基本方面是与所使用的技术同意的实际实现相互关联。此外，它涉及采取了对个人资料的申请范围的同意概念的解释，以及他们所列的义务。是什么同意效率作为数据保护工具？以前的荣耀可以在目前的技术法律挑战范围内保持吗？

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