Big privacy

The result of the data mining phase is a correlation that generalizes the relationships between the discovered connections in the form of an algorithm, which produces an output that specifies the degree to which a particular data set exhibits characteristics of the knowledge advanced by the correlation. [...] The greater the challenges to privacy and self-determination from Big Data and other quarters, the stronger the PDE will rise up to meet it, which brings us to the definition of Big Privacy. [...] By using some of the same technologies as Big Data and by embedding them into the design and architecture of the PDE, Big Privacy allows for the legitimate interests and objectives of privacy and Big Data to coexist, with both values being achieved in tandem, instead of being positioned as opposing forces.13 4. The Seven Architectural Elements of Big Privacy In this section we will describe the se [...] Looking to the future and development of intelligent agents, the goal will be to embed the “tools” and “rules” of a trust framework within an intelligent agent (“SmartData”) which becomes the personal surrogate of the data subject. [...] There is simply no feasible alternative, despite the long list of drawbacks to personal data storage: • The cost of building, operating, and maintaining the various databases; • The need to refresh the data because it is constantly growing stale; • The regulatory requirements of protecting the privacy of the stored data; and • The potential liability of costly data breaches.