Discrimination and Privacy in the Information Society
Data Mining and Profiling in Large Databases
Editors: Custers, B., Calders, T., Schermer, B., Zarsky, T. (Eds.)
- 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
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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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Bibliographic Information
- 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
- Series Volume
- 3
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-30487-3
- DOI
- 10.1007/978-3-642-30487-3
- Hardcover ISBN
- 978-3-642-30486-6
- Softcover ISBN
- 978-3-642-44113-4
- Series ISSN
- 2192-6255
- Edition Number
- 1
- Number of Pages
- XVIII, 370
- Topics
