]> 2012-02-11T06:29:51-05:00 Transparent Accountable Data Mining: New Strategies for Privacy Protection 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. inproceedings 2006 Transparent Accountable Data Mining: New Strategies for Privacy Protection Proceedings of AAAI Spring Symposium on The Semantic Web meets eGovernment. 2006 Transparent Accountable Data Mining: New Strategies for Privacy Protection 2006 Year Title AAAI Press Publisher NO Process note Ksl tr id Has year Has where published Has title Has publishing details Has identifier Has author Proceedings of AAAI Spring Symposium on The Semantic Web meets eGovernment. Booktitle Bibtype K. Krasnow Waterman Gerald Jay Sussman Deborah L. McGuinness Lalana Kagal James A. Hendler Chris Hanson Tim Berners-Lee Harold Abelson Daniel J. Weitzner Author Stanford, CA Address Abstract KSL Technical Report Publication InProceedings