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数据驱动力:企业数据分析实战
book

数据驱动力:企业数据分析实战

by Carl Anderson
April 2021
Intermediate to advanced
210 pages
6h 3m
Chinese
Posts & Telecom Press
Content preview from 数据驱动力:企业数据分析实战
隐私、道德和风险
165
隐私原则
1998
年,
FTC
(美国联邦贸易委员会)发布了一份名为“
Privacy Online: a Report to
Congress
”的重要文件
1
。尽管现在看来,文件中的很多内容已经过时(比如,当时只
有约
14%
的儿童上网;如今,
5
岁以下的儿童中就有约
80%
每周会上网),但其中有
一个方面经受住了时间的考验,那就是关于隐私的
5
项基本原则。
告知
/
知情
“在收集消费者的任何个人信息之前,应该告知他们具体的信息工作实践。”
选择
/
同意
“要让消费者能够选择他们被收集的个人信息有多少可以供我们使用。”
访问
/
参与
“个人能够访问关于自己的数据,查看存在于实体的文件中的数据,并能够质疑数
据的准确性和完整性。”
完整
/
安全
“采取管理和技术措施,防止数据丢失和未经授权的访问、销毁、使用或披露。”
执行
/
纠正
一种强制执行其他原则的机制。
简而言之,我认为更多的数据、访问权限和数据科学会带来更多权力和风险。
数据强大而又危险。因此,本章涵盖了与隐私、道德和风险有关的许多方面,包括一些危
险,以及组织及其用户某些看似不一致的利益。我认为组织应该将培养同理心作为一条指
导原则。组织可以通过有道德地行事,包括制定政策和训练员工体贴入微地办事,并将用
户利益放在首位,建立和保持用户的信任,保护他们和用户的利益,从而降低一些风险。
12.1
 尊重隐私
当一辆车开到
Uber
长岛办公室时,
Uber
纽约分部的总经理
Josh Mohrer
正手拿着
iPhone
在外面等着。记者
Johana Bhuiyan
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Publisher Resources

ISBN: 9787115560179