Transparent Accountable Data Mining: New Strategies for Privacy Protection

From Tetherless World Wiki

Jump to: navigation, search

Citation: Daniel J. Weitzner and Harold Abelson and Tim Berners-Lee and Chris Hanson and James A. Hendler and Lalana Kagal and Deborah L. McGuinness and Gerald Jay Sussman and K. Krasnow Waterman. (2006) Transparent Accountable Data Mining: New Strategies for Privacy Protection. In Proceedings of AAAI Spring Symposium on The Semantic Web meets eGovernment., 2006.

Publication inproceedings ( Edit )
type InProceedings
bibtype inproceedings
Bibtex basics
author Daniel J. Weitzner and Harold Abelson and Tim Berners-Lee and Chris Hanson and James A. Hendler and Lalana Kagal and Deborah L. McGuinness and Gerald Jay Sussman and K. Krasnow Waterman
title Transparent Accountable Data Mining: New Strategies for Privacy Protection
booktitle Proceedings of AAAI Spring Symposium on The Semantic Web meets eGovernment.
address Stanford, CA, USA
year 2006
Bibtex more
publisher AAAI Press
Access Paper
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.

KSL Technical Report ID: KSL-06-03
Facts about Transparent Accountable Data Mining: New Strategies for Privacy ProtectionRDF feed
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, USA  +
Author Daniel J. Weitzner and Harold Abelson and Tim Berners-Lee and Chris Hanson and James A. Hendler and Lalana Kagal and Deborah L. McGuinness and Gerald Jay Sussman and K. Krasnow Waterman  +
Bibtype inproceedings  +
Booktitle Proceedings of AAAI Spring Symposium on The Semantic Web meets eGovernment.  +
Has author Daniel J. Weitzner and Harold Abelson and Tim Berners-Lee and Chris Hanson and James A. Hendler and Lalana Kagal and Deborah L. McGuinness and Gerald Jay Sussman and K. Krasnow Waterman  +
Has identifier KSL-06-03  +
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  +
Ksl tr id KSL-06-03  +
Process note NO  +
Publisher AAAI Press  +
Title Transparent Accountable Data Mining: New Strategies for Privacy Protection  +
Year 2006  +
Personal tools