Knowledge Systems Laboratory
Abstract: 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.
Daniel J. Weitzner, Hal Abelson, Tim Berners-Lee, Chris P. Hanson, Jim Hendler,
Lalana Kagal, Deborah L. McGuinness, Gerald J. Sussman, K. Krasnow Waterman.
Transparent Accountable Data Mining: New Strategies for Privacy Protection
Proceedings of AAAI Spring Symposium on
Semantic Web meets eGovernment.
AAAI Press, Stanford University, Stanford, CA., USA, March, 2006.
Also available as MIT CSAIL Technical Report-2006-007 and Stanford KSL Technical
version is available.
Selected Papers of Deborah L. McGuinness.
software and network services |
technical reports |
Copyright @2004 Stanford University
All Rights Reserved.