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

Emergencies Information Management Systems

#2. Breakthrough Betting
Emergencies Information Management Systems

The paper addresses the issue of forming an intelligent digital infrastructure for managing the country’s economy in special conditions: global disasters, catastrophes and emergencies. The experience of creating large information systems for managing the country’s economy in a special period is evaluated. The convergent approach for creating the required system for management support is proposed. It is shown that under these conditions, high management efficiency can be achieved on the basis of special support for self-organization processes and anti-collapse self-adjusting integration of information system segments and intelligent services that are adaptable to conditions of a known, predictable and unknown nature. At the same time, the integration of network infrastructures involves the distributed processing and storage of data based on interaction and integration of various network environments, which allows to achieve previously unattainable reliability, stability and recoverability of economic management.

Why the Future is with Hybrid AI Systems

#6. For the High Norm
Why the Future is with Hybrid AI Systems

The article by Gary Marcus Deep Learning: A Critical Appraisal [1] dwells on the questions about the current achievements of in-depth training and artificial intelligence (AI). The overall tone of the work is pessimistic and tends to rethink the results, even if they are intermediate. Markus makes forecasts and writes about the possible consequences of another hype around AI technologies [2]. The article gives a vision on which direction to move while developing AI systems.