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KDD, data mining, and the challenge for normative privacy   总被引:3,自引:1,他引:2  
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.  相似文献   
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This essay examines some ethical aspects of stalkingincidents in cyberspace. Particular attention is focused on the Amy Boyer/Liam Youens case of cyberstalking, which has raised a number of controversial ethical questions. We limit our analysis to three issues involving this particular case. First, we suggest that the privacy of stalking victims is threatened because of the unrestricted access to on-linepersonal information, including on-line public records, currently available to stalkers. Second, we consider issues involving moral responsibility and legal liability for Internet service providers (ISPs) when stalking crimesoccur in their `space' on the Internet. Finally, we examine issues of moral responsibility for ordinary Internet users to determine whether they are obligated to inform persons whom they discover to be the targets of cyberstalkers.  相似文献   
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