Data Dilemmas in the Information Society: Introduction and Overview
Data Dilemmas in the Information Society: Introduction and Overview
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信息社会中的数据困境：简介和概述
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发表时间：
2013
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通讯作者：
B. Custers
中科院分区：
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作者：
B. Custers
本章提供了本书的介绍和所有章节的概述。首先，它指出了这本书是关于什么：数据挖掘和分析的歧视和隐私问题以及这些问题的解决方案（包括技术和非技术）。这本书的很大一部分是基于一个项目的研究结果，该项目关于如何以及在何种程度上可以将法律的和道德规则集成到数据挖掘算法中以防止歧视。由于这是一个介绍性的章节，它解释了什么是数据挖掘和分析，以及为什么我们需要这些工具在信息社会。然而，尽管有这种明确的需要，数据挖掘和特征分析也可能产生不良影响，特别是歧视性影响和侵犯隐私。这就造成了如何处理数据挖掘和分析的困境。可利用法律、规范、市场力量和守则（即，技术架构中的限制）。本章最后概述了本书的结构，其中包括关于数据挖掘和分析的机会，可能的歧视和隐私问题，实际应用以及代码，法律，规范和市场解决方案的章节。
This chapter provides and introduction to this book and an overview of all chapters. First, it is pointed out what this book is about: discrimination and privacy issues of data mining and profiling and solutions (both technological and non-technological) for these issues. A large part of this book is based on research results of a project on how and to what extent legal and ethical rules can be integrated in data mining algorithms to prevent discrimination. Since this is an introductory chapter, it is explained what data mining and profiling are and why we need these tools in an information society. Despite this unmistakable need, however, data mining and profiling may also have undesirable effects, particularly discriminatory effects and privacy infringements. This creates dilemmas on how to deal with data mining and profiling. Regulation may take place using laws, norms, market forces and code (i.e., constraints in the architecture of technologies). This chapter concludes with an overview of the structure of this book, containing chapters on the opportunities of data mining and profiling, possible discrimination and privacy issues, practical applications and solutions in code, law, norms and the market.