Transparent Accountable Datamining Initiative
The TAMI Project is creating technical, legal, and policy foundations for
transparency and accountability in large-scale aggregation and inferencing
across heterogeneous information systems. The incorporation of transparency
and accountability into decentralized systems such as the Web is critical to
help society manage the privacy risks arising from the explosive progress in
communications, storage, and search technology. The expansion of government
use of large-scale data mining for law enforcement and national security
provides a compelling motivation for this work. While other investigations of
the impact of data mining on privacy focus on limiting access to data as a
means of protecting privacy, a variety of social, political, and technical
factors are making it increasingly difficult to limit collection of and
access to personal information. The TAMI Project is addressing the risks to
privacy protection and the reliability of conclusions drawn from increasing
ease of data aggregation from multiple sources by creating methods and
technologies for adding increased transparency and accountability of the
inferencing and aggregation process itself. The project is developing precise
rule languages that are able to express policy constraints and reasoning
engines that are able to describe the results they produce.
Selected publications:
- AuYeung, Ching-man, Kagal, Lalana, Gibbins, Nick, and Shadbolt, Nigel
Providing Access Control to Online Photo Albums Based On Tags and Linked Data,
AAAI Spring Symposium on Social Semantic Web: Where Web 2.0 Meets Web 3.0
- Seneviratne, Oshani, Kagal, Lalana, and Berners-Lee, Tim,
Policy Aware Content Reuse on the Web,
ISWC2009 - International Semantic Web Conference
- Henry Story, Bruno Harbulot, Ian Jacobi and Mike
Jones, FOAF+SSL:
RESTful Authentication for the Social
Web, SPOT2009 - Trust and Privacy on the Social
and Semantic Web workshop at ESWC 2009, June 2009.
- Weitzner, Abelson, Berners-Lee, Feigenbaum, Hendler, Sussman, Information
Accountability (alt
link),Communications of the ACM, Jun. 2008, 82-87
- Lalana Kagal, Chris Hanson, and Daniel Weitzner, Integrated
Policy Explanations via Dependency Tracking, IEEE Policy 2008
- D. Weitzner, Beyond
Secrecy: New Privacy Protection Strategies for Open Information
Spaces, IEEE Internet Computing, Sept/Oct 2007.
- Weitzner, Abelson, Berners-Lee, Feigenbaum, Hendler, Sussman, Information
Accountability, MIT CSAIL Technical Report MIT-CSAIL-TR-2007 (13 June
2007) [DSpace
Handle]
- Hanson, Kagal, Sussman, Berners-Lee, Weitzner, "Data-Purpose
Algebra: Modeling Data Usage Policies", IEEE Workshop on Policy for
Distributed Systems and Networks 2007, June 2007 (POLICY 2007).
- Feigenbaum and Weitzner (eds.), "Report
on the 2006 TAMI/Portia Workshop on Privacy and Accountability."
- Weitzner, Abelson, Berners-Lee, Hanson, Hendler, Kagal, McGuinness,
Sussman, Waterman, Transparent
Accountable Data Mining: New Strategies for Privacy Protection,; MIT
CSAIL Technical Report MIT-CSAIL-TR-2006-007
[DSpace handle]
(27 January 2006).
Trying out accountability tools under development
Our research is visibile through the above papers and tools that we are
developing. We welcome feedback.
- Hints on how to install
and use a Tabulator extension that helps users to analyze compliance
with privacy rules in policy-aware information usage logs.
Please be aware that this is bleeding edge code intended for demonstration
purposes only.
Current status
For current status, see this
page and some challenges we are
working on.
The following are a few of the scenarios we're working on
This project has close connections with the Policy Aware Web access control
project, joint work with the University of Maryland Mindswap
project.
This work is supported by the US National Science Foundation Cybertrust
(05-518) program.
$Revision: 27889 $ of
$Date: 2009-02-02
$Author: lkagal$