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dc.contributor.advisorDaniel Weitzner
dc.contributor.authorWeitzner, Daniel J.
dc.contributor.authorAbelson, Harold
dc.contributor.authorBerners-Lee, Tim
dc.contributor.authorHanson, Chris
dc.contributor.authorHendler, James
dc.contributor.authorKagal, Lalana
dc.contributor.authorMcGuinness, Deborah L.
dc.contributor.authorSussman, Gerald Jay
dc.contributor.authorWaterman, K. Krasnow
dc.contributor.otherDecentralized Information Group
dc.date.accessioned2006-01-27T19:27:14Z
dc.date.available2006-01-27T19:27:14Z
dc.date.issued2006-01-27
dc.identifier.otherMIT-CSAIL-TR-2006-007
dc.identifier.urihttp://hdl.handle.net/1721.1/30972
dc.description.abstractAttempts 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.
dc.format.extent10 p.
dc.format.extent54814550 bytes
dc.format.extent5102588 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesMassachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
dc.titleTransparent Accountable Data Mining: New Strategies for Privacy Protection


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