Russia in the Global World of Artificial Intelligence: Assessment by World Rankings

DOI: https://doi.org/10.33917/es-2.182.2022.20-31

Artificial intelligence systems (AI) are rapidly becoming a competitive tool, an important factor in improving the efficiency of socioeconomic reproduction, and even an attribute of the development of human civilization, the core of global and national development projects. Comparative assessments of the degree of development of AIS have also become a tool for influencing the economic strategies of states and companies and supporting their implementation. Determining a country’s place in the global “table of ranks” makes it possible not only to clarify its real status in global competition in AIS but also to identify unaccounted for elements to increase the effectiveness of government initiatives in the field of AIS development

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Digitalization of the healthcare sector in Japan based on artificial intelligence technology: key problems and solutions

DOI: 10.33917/mic-5.100.2021.87-102

The article deals with a description and analysis of the policy of modernization of the healthcare sector implemented by the Japanese government on the basis of artificial technology, provides particular examples of some research projects and cases of practical application of the described technologies, identifies problem areas of the policy being implemented and projects being developed.

Modernization of the healthcare sector and medical services based on using of the latest digital technologies, in particular, artificial intelligence technology, is one of the key current global trends. In Russia, the digital transformation of healthcare is defined as one of the key tasks and is carried out within the framework of the National Project «Healthcare».

The study of successful examples of the introduction of artificial intelligence technology, as well as problems that hinder or slow down the integration of this technology and ways to overcome them, can be a valuable lesson for countries also involved in the development of national strategies for the development of artificial intelligence.

Strategy of a Legal Framework Formation in the Field of Determining Liability for the Harm Caused by Technologies with the Use of Artificial Intelligence Elements

DOI: 10.33917/es-7.173.2020.118-124

In the modern world, introduction of technologies with the elements of artificial intelligence into all spheres of life is developing rapidly, significantly ahead of the development of legislation. In this regard, the problem of determining liability for the harm caused by the use of such technologies arises. The problem can be solved by creating a comprehensive strategy for the development of the legal field in this area and bringing the current legislation to the level of information-oriented Society 5.0, the concept of which assumes technical breakthrough in the field of cyber technologies. The aim of this research is to analyze current situation in the field of legal regulation of liability for the harm caused by technologies with the elements of artificial intelligence and to determine the strategy for the formation of legal framework in this field. In the first part of the article the analysis of the current legal situation on the basis of scientific developments in this area is carried out, as well as the solutions proposed by the strategy for the development of artificial intelligence technologies as the basis for the formation of the legal framework are shown. The second part of the article is devoted to the strategy of a legal framework formation in the field of determining responsibility for the use of technologies with the elements of artificial intelligence. In conclusion it is said that the strategy under consideration can be realized by developing a set of measures aimed at implementing the provisions that define responsibility for the use of technologies with elements of artificial intelligence into current legislation.

Neuromanagement: Convergent Integration of the Human Brain and Artificial Intelligence

DOI: 10.33917/es-6.172.2020.46-57

World achievements in the field of neuroscience have provided previously inaccessible opportunities for creating fundamentally new control systems based on neurointerfaces (brain — computer — brain). Hybridization of environments — gradual blurring of the boundaries between physical, cognitive and digital realities — is taking place. Descriptions of social and cognitive practices of real people are transformed into forming an artificial electronic subject, which becomes more real, replacing a biological object in society (a person is how he is represented in the electronic information environment). At the same time, development of the neurointerface perspectively leads to conversion of nervous tissue and changes biological substrate of the human brain and body in the vector of convergent collaboration of living and artificial nervous systems. Our American competing partners (the US Department of Defence represented by DARPA) carry out multidisciplinary comprehensive research in this area, leading in real results, the US leadership is increasing government funding. A qualitative change in technologies for managing people, society and the state is taking place. Russia’s objective in these conditions is to form its own segment of Neuronet, relying on domestic neurotechnologies, by analogy with the policy of import substitution in Russian nuclear energy.

Classification of Artificial Intelligence Systems

DOI: 10.33917/es-6.172.2020.58-67

The article considers the classification of Artificial Intelligence (AI) systems. The role of AI has increased significantly recently in all areas of life. The use of AI in public administration, in production, in medicine, in the military, in the social sphere, etc., raised a number of questions related to the definition of AI and classification of AI systems. Classification of AI is necessary to understand the role of AI in the digital economy. Classification becomes important in the context of intensive development of international standards for AI systems and knowledge-based systems (expert, neural, multi-agent, cyber-physical systems and systems based on the industrial Internet)

Sunlight Against Coal

DOI: 10.33917/es-3.169.2020.134-141

The article dwells on the topic of competition between coal and solar energy as types of fuel. The authors provide a comparison of the installed capacity of a virtual solar power station and an existing coal power station located within the land allotment of a coal mine. The development prospects of the coal industry in terms of thermal coal are shown.

Trump’s Election Strategy: Neuromathematical Key to Deeper Layers of the American Voter Consciousness

DOI: 10.33917/es-7.165.2019.78-93

The key factor determining success of Trump’s election strategy was the use of cognitive neurophysiology methods — digital identification of a virtual doppelganger of a real voter in information and social networks. Semantization of the states of consciousness and psyche of individuals, being identified in the Global Network, on the basis of computational decisions allows to encapsulate (grab) an integral position that suits most people available for monitoring in order to set the vector of stable convergence of Trump’s election platform and the views of a particular American voter described and analyzed. Identification allows to influence the dominant focus of the emotional-imagination block for remote cognitive correction of the people’s political position in conditions of strategic bifurcation (elections). Russian developments in the field of personality neuro-management are also of great scientific and practical importance

Architecture of the National Data Management System for Creating Proactive Artificial Intelligence

DOI: 10.33917/es-7.165.2019.94-104

The article examines two approaches to formation of a national data management system (NDMS). The first approach is based on applying statistical data for predictive analytics to forecast the future. However, to ensure social progress, a proactive approach is required, aimed at creation of such a NDMS, which can be used to build the future implementing moral values. The authors substantiate that a proactive approach should be based on the principles of economic cybernetics, which allow to develop and introduce proactive artificial intelligence (AI) for improving the economic management efficiency. Its core is a Dynamic Model of Interbranch-Intersectoral Balance (MIIB), representing a system of algorithms for matching end consumers’ orders and manufacturers’ capabilities. The MIIB table, which presents all the relationships of economic agents, defines the architecture of the National Data Management System (NDMS) for the proactive AI functioning

Challenges of the Future: Artificial Intelligence, Technology, Ethics

DOI: 10.33917/es-6.164.2019.18-29

On April 17, 2019, the Civic Chamber of the Russian Federation held an expanded meeting of the expert-discussion club of the Association of Analytical Centers “Analytica” with participation of the RF Civic Chamber Commission on public diplomacy, humanitarian cooperation and maintenance of traditional values. The main purpose of the event was to discuss the challenges of the future and develop constructive proposals on the problems of artificial intelligence, technology and ethics. The keynote speaker was the president of the Global Ethics Foundation, founder and head of the Globethics.net social network, professor at the Basel University (Switzerland) Christoph Stuckelberger

Some Aspects of Creating Artificial Intelligence and Implementing Transhumanism Ideas

The authors considered some aspects of the development of artificial intelligence (AI), the possibility of the emergence of artificial intelligence and the transfer of consciousness to a new substantive carrier as one of the goals of the transhumanism movement. It is shown that the basis for the development of artificial intelligence is formalized (mathematical) logic, while the activity of the human mind (organic unity of consciousness, subconscious and unconscious), the logic of its functioning can not be mathematical formalization. In this regard, the authors believe that the most promising is the concentration of scientific efforts in research on the development of superintelligence. In this case, perhaps the most effective may be artificial intelligent systems that use a set of hybrid mathematical logic