How Information and Communication Technologies Expose Our Deep Personal Privacy

Personal privacy, in various aspects, has occupied humanity since the dawn of civilization, evolving and changing throughout human history. For the last two decades, the issue of privacy has constantly been at the center of public debate. Privacy, particularly various aspects of personal privacy1, persistently remains the focus of public attention. The growing preoccupation with personal privacy stems from the great changes [1] that information and communication technologies (ICTs) have brought about in all walks of life during the last twenty years. AI (Artificial intelligence) tools have developed as part of a revolution in which ICTs. These tools have capabilities that were not previously known to violate personal privacy by replacing the discussion on personal privacy with discussion on deep and general personal privacy information. I show how AI tool (Decision Tree tool) could be used to expose to the public parts of personal privacy. In this study, I show how it is possible, by analyzing a large database and using Data Minnig methods to expose feelings of trust or mistrust. Trust is an emotion that is found in the field of Deep Personal Privacy. Emotions were undiscoverable before the age of ICT and AI. The numerical example presented in this article shows that using an AI tool (Decision Tree) enables the user to expose (prediction) the user’s trust (mistrust) in a computerized support system with an accuracy of 68.68%