Discrimination and Privacy in the Information Society

Data Mining and Profiling in Large Databases

  • Bart Custers
  • Toon Calders
  • Bart Schermer
  • Tal Zarsky

Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE, volume 3)

Table of contents

  1. Front Matter
    Pages 1-16
  2. Opportunities of Data Mining and Profiling

    1. Front Matter
      Pages 1-1
    2. Toon Calders, Bart Custers
      Pages 27-42
  3. Possible Discrimination and Privacy Issues

    1. Front Matter
      Pages 59-59
    2. Raphaël Gellert, Katja de Vries, Paul de Hert, Serge Gutwirth
      Pages 61-89
    3. Dino Pedreschi, Salvatore Ruggieri, Franco Turini
      Pages 91-108
    4. Andrea Romei, Salvatore Ruggieri
      Pages 109-135
  4. Practical Applications

    1. Front Matter
      Pages 153-153
    2. Faisal Kamiran, Indrė Žliobaitė
      Pages 155-170
    3. Jan-Kees Schakel, Rutger Rienks, Reinier Ruissen
      Pages 171-189
    4. Susan van den Braak, Sunil Choenni, Sicco Verwer
      Pages 191-206
  5. Solutions in Code

    1. Front Matter
      Pages 207-207
    2. Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
      Pages 223-239
    3. Sara Hajian, Josep Domingo-Ferrer
      Pages 241-254
    4. Sicco Verwer, Toon Calders
      Pages 255-270
  6. Solutions in Law, Norms and the Market

    1. Front Matter
      Pages 271-271
    2. Bart van der Sloot
      Pages 273-287
    3. Giusella Finocchiaro, Annarita Ricci
      Pages 289-299
  7. Concise Conclusions

    1. Front Matter
      Pages 339-339
    2. Bart Custers, Toon Calders, Tal Zarsky, Bart Schermer
      Pages 341-357
  8. Back Matter
    Pages 0--1

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.



Anonymity Classfication Criminal law Data mining Database Discrimination Information security Masking Privacy Profiling Transparency

Editors and affiliations

  • Bart Custers
    • 1
  • Toon Calders
    • 2
  • Bart Schermer
    • 3
  • Tal Zarsky
    • 4
  1. 1., Faculty of LawLeiden UniversityLeidenNetherlands
  2. 2., Faculty of Math and Computer ScienceEindhoven University of TechnologyEindhovenNetherlands
  3. 3., Faculty of LawLeiden UniversityLeidenNetherlands
  4. 4., Faculty of LawHaifa UniversityHaifaIsrael

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-30486-6
  • Online ISBN 978-3-642-30487-3
  • Series Print ISSN 2192-6255
  • Series Online ISSN 2192-6263
  • Buy this book on publisher's site
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