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.
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.
