算法社会分类和数字隐私的新法律叙事

I. Stepanović
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引用次数: 0

摘要

使用算法进行社会分类,意味着有必要挑战对私人领域的传统理解,即私人领域是一个不受监视和外部干预的封闭领域。私人与公共之间的关系变得动态和复杂,而两个区域之间的边界仍然处于不断变化的状态。数字隐私的概念涉及的是数据替身而不是实体,仅限于对个人数据的部分控制。《通用数据保护条例》以及新的立法,即《人工智能法》和《数字服务法》,提供了数字隐私的概念,承认涉及生物特征和行为数据的收集、解释、使用和滥用的新数据监控实践。本文使用概念分析的方法来研究从包括GDPR, AIA和DSA在内的立法行为语料库中出现的数字隐私的新定义,并找出它们如何产生关于隐私的新法律叙述,这些法律叙述认识到回声室和算法决策的危险。
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Algorithmic Social Sorting And New Legal Narratives On Digital Privacy
The use of algorithms for social sorting has imposed the need to challenge the traditional understanding of the private sphere as a sealed-off realm free from surveillance and outside intervention. The relationship between private and public has become dynamic and complex while the borderline between the two zones remains to be in a state of flux. The concept of digital privacy is related to the data doubles rather than physical bodies, and it is limited to partial control over personal data. The General Data Protection Regulation, along with the new legislations, namely, Artificial Intelligence Act and Digital Services Act offer a conceptualisation of digital privacy that recognises novel dataveillance practices that involve the collection, interpretation, use and misuse of biometric and behavioural data. This paper uses the method of conceptual analysis to investigate the new definitions of digital privacy that emerge from the corpus of legislative acts including GDPR, AIA and DSA and find out how they generate new legal narratives on privacy that recognise the dangers of echo chambers and algorithmic decision-making.
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