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Transparent Accountable Data Mining: New Strategies for Privacy Protection

Author(s)
Weitzner, Daniel J.; Abelson, Harold; Berners-Lee, Tim; Hanson, Chris; Hendler, James; Kagal, Lalana; McGuinness, Deborah L.; Sussman, Gerald Jay; Waterman, K. Krasnow; ... Show more Show less
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Decentralized Information Group
Advisor
Daniel Weitzner
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Abstract
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.
Date issued
2006-01-27
URI
http://hdl.handle.net/1721.1/30972
Other identifiers
MIT-CSAIL-TR-2006-007
Series/Report no.
Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory

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