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In the past 18 months, the Liberty Public Policy Expert Group (PPEG) has run five Privacy Summit events world-wide, gathering privacy stakeholders from many different disciplines (IT, policy, regulation, legal, academic) for a peer-to-peer discussion of strategic issues and possible solutions.

As the series unfolded, the group quickly found that a major stumbling block was the lack of a shared terminology and model for the basic concepts of identity data and privacy. It was too easy for useful discussions of ‘second-order’ topics such as trust and privacy to get mired in largely unnecessary confusion over basic concepts and terminology.

As a result, simple models were created which illustrate the different ‘layers’ of identity data, their application in different ‘sectors’ (such as employment, healthcare, tax and so on), and the relative roles of credentials, attributes and indices. The models also illustrate concepts such as identity ‘contexts’, the establishment of contexts which span sectors, and some of the ways in which architecture, technology and policy need to interact in order for the system as a whole to function correctly.

Through the Summits, some key lessons were learned, and we derived simple models which help remove many of the obstacles to a productive, multi-stakeholder discussion of privacy issues. These lessons and models will be explored on this webcast, along with trends to watch for in the future.Presented by Robin Wilton, Sun Microsystems


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