Mulligan Deirdre K, Koopman Colin, Doty Nick
University of California, Berkeley, School of Information, and Berkeley Center for Law & Technology, Berkeley, CA 94720, USA
University of Oregon, Center for Cyber Security and Privacy, and Department of Philosophy, Eugene, OR 97403, USA.
Philos Trans A Math Phys Eng Sci. 2016 Dec 28;374(2083). doi: 10.1098/rsta.2016.0118.
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'.
在其历史进程中，随着一波又一波新技术能力和社会结构的出现，隐私的含义一直备受争议。当前由数据科学引发的一轮隐私争议，让许多评论家感到绝望，对另一些人来说则是隐私本身的丧钟。我们认为，隐私争议既不是该概念的偶然特征，也不是其适用性的可悲状况。隐私本质上是有争议的。正因为如此，隐私可根据不断变化的技术和社会条件而转变。为了有效利用隐私的本质争议性，我们主张采用一种新的隐私研究和实际设计方法，重点是开发概念分析方法，以促进剖析隐私在多种背景下的多种用途。本文是主题为“数据科学的伦理影响”的特刊的一部分。
