Statutory frameworks for regulating information flows: drawing lessons for the DNA data banks from other government data systems.
Statutory frameworks for regulating information flows: drawing lessons for the DNA data banks from other government data systems.
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监管信息流的法定框架：从其他政府数据系统中汲取 DNA 数据库的经验教训。
DOI：
10.1111/j.1748-720x.2006.00041.x
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Mayer-Schönberger,Viktor
中科院分区：
文献类型：
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作者：
Lazer,David;Mayer-Schönberger,Viktor
上面的位串编码了本文作者之一的个人信息。当然，如果没有规则来解码比特串，就不可能知道它是否是遗传信息、体重、年龄、指纹、宗教等。在技术解码过程之上是社会解码过程——这些信息有多敏感？出于各种目的，它对政府有多大用处？本文的目的是为国家出于执法目的收集的遗传信息的监管提供一些重要的经验教训。在本文的第一部分，我们讨论信息隐私理论的两个基本原则。然后，我们利用这些信息来研究监管政府在三个不同领域收集的信息的法定制度——指纹、机动车辆管理局 (DMV) 记录和税务记录。在第三部分也是最后一部分中，我们使用分析结果来类比出于执法目的收集的遗传信息的监管中的类似监管挑战，并提出一些初步建议。
The above bit string encodes personal information about one of the authors of this essay. Of course, without rules to decode the bit string, it is impossible to say whether it is genetic information, weight, age, fingerprint, religion, etc. Layered on top of that technical decoding process is a social decoding process – how sensitive is this information? How useful is it to the government for various purposes? The objective of this paper is to offer some key lessons for the regulation of genetic information collected by the state for law enforcement purposes. In the first part of the paper, we discuss two fundamental principles of informational privacy theory. Utilizing these, we then examine the statutory regimes that have emerged for the regulation of the information that the government collects in three different domains – fingerprints, department of motor vehicle (DMV) records, and tax records. In the third and final part we use the results of our analysis as analogies for similar regulatory challenges in the regulation of genetic information collected for law enforcement purposes, and make some tentative recommendations.