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KDD, data mining, and the challenge for normative privacy

Authors
  • Tavani, Herman T.
Type
Published Article
Journal
Ethics and Information Technology
Publisher
Kluwer Academic Publishers
Publication Date
Dec 01, 1999
Volume
1
Issue
4
Pages
265–273
Identifiers
DOI: 10.1023/A:1010051717305
Source
Springer Nature
Keywords
License
Yellow

Abstract

The present study examines certain challenges that KDD (Knowledge Discovery in Databases) in general and data mining in particular pose for normative privacy and public policy. In an earlier work (see Tavani, 1999), I argued that certain applications of data-mining technology involving the manipulation of personal data raise special privacy concerns. Whereas the main purpose of the earlier essay was to show what those specific privacy concerns are and to describe how exactly those concerns have been introduced by the use of certain KDD and data-mining techniques, the present study questions whether the use of those techniques necessarily violates the privacy of individuals. This question is considered vis-à-vis a recent theory of privacy advanced by James Moor (1997). The implications of that privacy theory for a data-mining policy are also considered.

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