Editors:
- Latest technological developments in data mining and profiling
- Interesting for information scientists as well as for law, ethics, sociology, politics and public administration, and other people who may be confronted with large amounts of information in their work
- Written by leading experts in the field
Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE, volume 3)
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Table of contents (19 chapters)
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Front Matter
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Opportunities of Data Mining and Profiling
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Front Matter
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Possible Discrimination and Privacy Issues
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Front Matter
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Solutions in Law, Norms and the Market
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Front Matter
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About this book
Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in  making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of  discrimination.
Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection.
This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.
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Editors and Affiliations
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, Faculty of Law, Leiden University, Leiden, Netherlands
Bart Custers, Bart Schermer
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, Faculty of Math and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands
Toon Calders
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, Faculty of Law, Haifa University, Haifa, Israel
Tal Zarsky
Bibliographic Information
Book Title: Discrimination and Privacy in the Information Society
Book Subtitle: Data Mining and Profiling in Large Databases
Editors: Bart Custers, Toon Calders, Bart Schermer, Tal Zarsky
Series Title: Studies in Applied Philosophy, Epistemology and Rational Ethics
DOI: https://doi.org/10.1007/978-3-642-30487-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-30486-6Published: 12 August 2012
Softcover ISBN: 978-3-642-44113-4Published: 20 September 2014
eBook ISBN: 978-3-642-30487-3Published: 11 August 2012
Series ISSN: 2192-6255
Series E-ISSN: 2192-6263
Edition Number: 1
Number of Pages: XVIII, 370
Topics: Computational Intelligence, Ethics, Data Mining and Knowledge Discovery, Database Management, Criminal Law and Criminal Procedure Law