The European Approach to Artificial Intelligence across Geo-political Models of Digital Governance

Digital technologies are crucial in many high-stakes fields and should follow the principle of transparency. At the same time, technologies are inescapably value-laden. In fact, values are built into algorithms, technical standards, and protocols. Adopting a geo-political perspective, this paper aims to investigate how the main state actors (i.e., Russia, China, the USA, and Europe) further the advancement of digital technologies in ways that mirror their political, cultural, and societal structures. We propose a comprehensive analysis that encompasses a legal, ethical, and technical assessment. Furthermore, we consider a case within the SoBigData++ research infrastructure as an example of successful synergy of digital technologies and fundamental ethical and legal principles underpinning the European society

Privacy Preserving Multidimensional Profiling

Recently, big data had become central in the analysis of human behavior and the development of innovative services. In particular, a new class of services is emerging, taking advantage of different sources of data, in order to consider the multiple aspects of human beings. Unfortunately, these data can lead to re-identification problems and other privacy leaks, as diffusely reported in both scientific literature and media. The risk is even more pressing if multiple sources of data are linked together since a potential adversary could know information related to each dataset. For this reason, it is necessary to evaluate accurately and mitigate the individual privacy risk before releasing personal data. In this paper, we propose a methodology for the first task, i.e., assessing privacy risk, in a multidimensional scenario, defining some possible privacy attacks and simulating them using real-world datasets