大数据与隐私法的碰撞

Stephen Wilson
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引用次数: 3

摘要

我们生活在一个亿万富翁白手起家的时代,他们依靠的是最无形的资产——他们掌握的关于我们的信息。数字经济充斥着数据。它是一种新的、可以无限重复使用的原材料,越来越多的普通人在网上生活。许多信息企业的经营基础是,原始数据是可以获取的;如果一个企业家足够聪明,能够找到一个新的脉络,他们就有权以任何他们喜欢的方式去挖掘它。然而,支撑当今数字商业模式的一些默认假设是幼稚的。比互联网更古老的传统数据保护法限制了个人信息的流通方式。事实证明,面对“大数据”和“物联网”,这些定律的威力惊人。另一方面,正统的隐私管理并不是为明天从今天收集的原始数据中合成新的个人信息而设计的。本文试图弥合数据分析和隐私之间的概念差距,并提出了扩展的隐私原则,以更好地处理大数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Collision between Big Data and Privacy Law
We live in an age where billionaires are self-made on the back of the most intangible of assets – the information they have about us. The digital economy is awash with data. It's a new and endlessly re-useable raw material, increasingly left behind by ordinary people going about their lives online. Many information businesses proceed on the basis that raw data is up for grabs; if an entrepreneur is clever enough to find a new vein of it, they can feel entitled to tap it in any way they like. However, some tacit assumptions underpinning today's digital business models are naive. Conventional data protection laws, older than the Internet, limit how Personal Information is allowed to flow. These laws turn out to be surprisingly powerful in the face of 'Big Data' and the 'Internet of Things'. On the other hand, orthodox privacy management was not framed for new Personal Information being synthesised tomorrow from raw data collected today. This paper seeks to bridge a conceptual gap between data analytics and privacy, and sets out extended Privacy Principles to better deal with Big Data.
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