Transparent Accountable Data Mining: New Strategies for Privacy Protection

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KSL-06-03 +  redirect page

Transparent Accountable Data Mining: New Strategies for Privacy Protection +  Has identifier

Transparent Accountable Data Mining: New Strategies for Privacy Protection +  Ksl tr id

Transparent Accountable Data Mining: New Strategies for Privacy Protection

Bibtype  inproceedings

Has publishing details  2006

Has title  Transparent Accountable Data Mining: New Strategies for Privacy Protection

Has where published  Proceedings of AAAI Spring Symposium on The Semantic Web meets eGovernment.

Has year  2006

Title  Transparent Accountable Data Mining: New Strategies for Privacy Protection

Year  2006

Abstract  Attempts to address issues of personal pri Attempts to address issues of personal privacy in a world of computerized databases and information networks -- from security technology to data protection regulation to Fourth Amendment law jurisprudence -- typically proceed from the perspective of controlling or preventing access to information. We argue that this perspective has become inadequate and obsolete, overtaken by the ease of sharing and copying data and of aggregating and searching across multiple data bases, to reveal private information from public sources. To replace this obsolete framework, we propose that issues of privacy protection currently viewed in terms of data access be re-conceptualized in terms of data use. From a technology perspective, this requires supplementing legal and technical mechanisms for access control with new mechanisms for transparency and accountability of data use. In this paper, we present a technology infrastructure -- the Policy Aware Web -- that supports transparent and accountable data use on the World Wide Web, and elements of a new legal and regulatory regime that supports privacy through provable accountability to usage rules rather than merely data access restrictions. ther than merely data access restrictions.

Address  Stanford, CA +

Author  Daniel J. Weitzner +, Harold Abelson +, Tim Berners-Lee +, Chris Hanson +, James A. Hendler +, Lalana Kagal +, Deborah L. McGuinness +, Gerald Jay Sussman +, K. Krasnow Waterman +

Booktitle  Proceedings of AAAI Spring Symposium on The Semantic Web meets eGovernment. +

Has author  Daniel J. Weitzner +, Harold Abelson +, Tim Berners-Lee +, Chris Hanson +, James A. Hendler +, Lalana Kagal +, Deborah L. McGuinness +, Gerald Jay Sussman +, K. Krasnow Waterman +

Has identifier  Transparent Accountable Data Mining: New Strategies for Privacy Protection +

Ksl tr id  Transparent Accountable Data Mining: New Strategies for Privacy Protection +

Process note  NO +

Publisher  AAAI Press +

Categories  InProceedings +, KSL Technical Report +, Publication +

 

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