Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy
Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy
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隐私是一个本质上有争议的概念：映射隐私的多维分析
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Nick Doty
中科院分区：
文献类型：
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作者：
D. Mulligan;Colin Koopman;Nick Doty
隐私的含义在其历史上一直存在争议，以应对一波又一波的新技术能力和社会配置。当前这轮由数据科学引发的隐私争议，让许多评论人士感到绝望，也给其他人敲响了隐私本身的丧钟。我们认为，隐私权的争议既不是概念的偶然特征，也不是其适用性的可悲条件。隐私基本上是有争议的。正因为如此，隐私是可以根据不断变化的技术和社会条件而改变的。为了有效地利用隐私的基本可扩展性，我们主张一种新的方法来隐私研究和实际设计，专注于概念分析的发展，促进解剖隐私的多种用途在多种情况下。本文是主题问题“数据科学的伦理影响”的一部分。
The meaning of privacy has been much disputed throughout its history in response to wave after wave of new technological capabilities and social configurations. The current round of disputes over privacy fuelled by data science has been a cause of despair for many commentators and a death knell for privacy itself for others. We argue that privacy’s disputes are neither an accidental feature of the concept nor a lamentable condition of its applicability. Privacy is essentially contested. Because it is, privacy is transformable according to changing technological and social conditions. To make productive use of privacy’s essential contestability, we argue for a new approach to privacy research and practical design, focused on the development of conceptual analytics that facilitate dissecting privacy’s multiple uses across multiple contexts. This article is part of the themed issue ‘The ethical impact of data science’.