Digital identification system’s risk classification (based on foreign experience)

Abstract

This article is devoted to the development of a classification of the risks of projects for the introduction and development of digital identification systems for citizens, based on foreign experience. When forming the sample, the following similar conditions to those in Russia were taken into account: the level of digital development; the level of digital literacy and income of the population; the presence of close cooperation in the economic sphere.Studies on the topic are limited and fragmentary, devoted mainly to describing the risks of specific national systems, the risks are not systematized, and there is no list of the most significant risks to the digital identification system of citizens of the Russian Federation.Research methodology and description of the sample: critical analysis.The faceted classification method was used to develop the classification; the assessment of the most likely risks on the way of the system formation in Russia is based on the data of the metaanalysis of studies of the level of digital development and literacy of citizens.It was found that the risks are of a complex composite nature; the degree of citizens’ resistance to digital identification systems does not depend on the general level of digital literacy of the population, but the most negatively inclined citizens are among people with high digital literacy or IT specialists; for the project being implemented in Russia, it is most important to ensure the security of citizens’ personal data and the possibility for citizens to control their digital doubles, training in using Internet technologies, legal, ethical and technological aspects.