классификация

Conceptual approach to the classification and certification of robots and complex automated information systems

Introduction. The development and spread of robots, artificial intelligence systems and complex automated information systems are associated with the problem of causing harm by their decisions and actions, as well as the problem of legal liability for this harm. Theoretical analysis. One of the main functions of legal liability is general and private prevention. When applied to robots, it requires them to be reprogrammed, retrained, or eliminated. Thus, the issue of the possibility, forms and conditions of their existence is directly related to the problem of legal responsibility of autonomous and sometimes unpredictable software and hardware mechanisms. A systemic legal structure aimed at ensuring safety and predictability in the creation and operation of robots can be built on the basis of a classifying standard, and each class will be associated with certain forms and models of responsibility. Empirical analysis. The basis of the legal classification of robots and complex automated information systems will be the threats associated with causing harm as a result of their spontaneous actions and decisions, correlated with the forms of legal liability. The following threats can be identified: causing the death of a person; unlawful change in the legal status of the subject; causing material harm; violation of the personal non-property rights of a person; information or other property of the owner (user), not related to causing harm to third parties; the threat of illegal behavior of robots. Results. The authors propose a classification of robots and complex automated systems, as well as approaches to legal liability and security for each class, and indicate directions for promising development of legal and technical standards necessary to ensure this classification and certification.

Methods and Forms of Investment Innovation at the Meso Level

The urgent need for the formation of national innovative
system of the Russian Federation actualizes the problem
of building innovative systems of meso-economic level, the solution
is impossible without determining the most effective forms and methods of investing in the innovative development of the
regions, bringing the required volumes of investment resources
at the right time. For this it is necessary to accurately determine
the terminology, to reveal the economic substance of the studied
concepts to conduct data classification. Theoretical analysis.
Analysis of scientific literature dedicated to investments in innovative
activities, showed that to date there is no single representation
and interpretation of the concept «form of investment and
innovative activity», missing their full classification in conjunction
with the methods of investment. Methods. The article presents
schematically disclosed the author’s interpretation of the «form of
investment and innovative activity of meso-economic systems»,
shows its relationship with the methods and means of investing in
innovation at the meso level. Results. The refined and expanded
the classification of forms and methods of investment in innovation
at the meso level with consideration of the peculiarities of the
latter. Conclusions. Presents the systematization allows more
balneo to reveal the economic substance of the forms and methods
of investment innovation at the meso level and to determine the
directions of their development.