scholarly journals Can Artificial Intelligence Author Laws: A Perspective from Russia

2020 ◽  
Vol 13 (3) ◽  
pp. 286
Author(s):  
Roman Dremliuga ◽  
Alexey Koshel
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Policy Making ◽  
Public Involvement ◽  
Intelligent System ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Russian Economy ◽  
Speed Up ◽  
Technical Sense

This article discusses the issue of the introduction of digital technologies into policy-making. The article describes several systems of policy-making in the Russian Federation. In addition, the article discusses the issue of the introduction of a new System of policy-making in the light of the digital transformation of the Russian economy. The paper analyzes the capacities of digital technologies, including artificial intelligence (AI), in the context of their application in policy-making. The authors conclude that there are prerequisites and opportunities for deeper automation of the policy-making. This can improve the quality of the bills, can increase public involvement in the policy-making process, and speed up the development and adoption of new regulations. An intelligent system can develop legislative bills that are of superior technical quality and are non-contradictory in the context of both national and international legal systems. Digitalization processes should naturally lead to changes in the mechanism of policy-making, which in turn should lead to its greater automation. Moreover, insufficient automation today can become an obstacle in the digital transformation of the Russian economy. The authors conclude that in the future it would be possible for intellectual systems to author bills. The general development of AI systems shows that given the parameters of the problem and given the circumstance when the machine would be able to detect a center of social tensions in the community, the intelligent system itself would be capable of making proposals in the field of legislative regulation. The application of intelligent systems in policy-making is not without its drawbacks. Such systems are not transparent in the legal and technical sense and can also transfer human beliefs into the texts of the regulations. These problems can be addressed through public scrutiny and the introduction of a licensing system, however even this would create a number of new practical challenges.

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

Das Zeitalter der Künstlichen Intelligenz als Herausforderung für die Parlamente

2021 ◽  
Vol 52 (1) ◽  
pp. 159-181
Author(s):  
Arne Pilniok
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Processes Of Change ◽  
Parliamentary Democracy ◽  
Democratic Representation ◽  
Government Administration ◽  
Technological Developments ◽  
Different Dimensions ◽  
The Government

The digital transformation is permanently changing the government, administration, and society . This process is being intensified by the much-discussed technologies of artificial intelligence, and poses a variety of challenges for parliaments and indirectly for parliamen­tary studies . Their different dimensions have not been discussed comprehensively so far, although the technological developments affect all parliamentary functions and their prem­ises . This article systematizes and structures the various effects of the age of artificial intel­ligence on parliamentary democracy . Namely, the conditions of democratic representation change, the innovation-friendly regulation of digital technologies becomes a parliamentary task, parliamentary control has to be adjusted to the use of algorithms and artificial intelli­gence in government and administration, and possibly, the epistemological and organiza­tional structures of parliamentary work might have to be adapted . This provides starting points for future detailed analyses to adequately capture these processes of change and to accompany them from different disciplinary perspectives .

scholarly journals DIGITAL TRANSFORMATION OF THE RUSSIAN ECONOMY AND ALIGNMENT OF ECONOMIC INTERESTS

2021 ◽  
Vol 230 (4) ◽  
pp. 410-416
Author(s):  
N.V. RASSKAZOVA ◽  
Keyword(s):  
Economic Growth ◽  
Transaction Costs ◽  
Digital Technologies ◽  
Digital Economy ◽  
Digital Transformation ◽  
Production Costs ◽  
Economic Interests ◽  
Digital Platforms ◽  
Russian Economy ◽  
Reproduction Process

The problems of the digital economy development are central, since the introduction of digital technologies in the reproduction process provides for increased efficiency and reduced production costs. This fact encourages the development of digital platforms and mechanisms that allow to accelerate the process of interaction between different actors and reduce the transaction costs of coordinating economic interests at the micro and macro levels, which will eventually lead to economic growth. In this regard, the problem of digitalization of the Russian economy and its branches is relevant.

Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence

2019 ◽  
Vol 61 (4) ◽  
pp. 110-134 ◽  
Author(s):  
Jürgen Kai-Uwe Brock ◽  
Florian von Wangenheim
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Public Interest ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Senior Managers ◽  
Technological Advances

Recent years have seen a reemergence of interest in artificial intelligence (AI) among both managers and academics. Driven by technological advances and public interest, AI is considered by some as an unprecedented revolutionary technology with the potential to transform humanity. But, at this stage, managers are left with little empirical advice on how to prepare and use AI in their firm’s operations. Based on case studies and the results of two global surveys among senior managers across industries, this article shows that AI is typically implemented and used with other advanced digital technologies in firms’ digital transformation projects. The digital transformation projects in which AI is deployed are mostly in support of firms’ existing businesses, thereby demystifying some of the transformative claims made about AI. This article then presents a framework for successfully implementing AI in the context of digital transformation, offering specific guidance in the areas of data, intelligence, being grounded, integrated, teaming, agility, and leadership.

scholarly journals TRANSFORMATION OF THE TAX SYSTEM IN THE CONTEXT OF DIGITALIZATION OF THE RUSSIAN ECONOMY AS A KEY TOOL ECONOMIC RECOVERY FROM RECESSION

2021 ◽  
pp. 216-223
Author(s):  
Дмитрий Анатольевич Артёменко ◽  
Людмила Александровна Василенко
Keyword(s):  
Russian Federation ◽  
Digital Technologies ◽  
Digital Economy ◽  
Digital Transformation ◽  
Economic Recovery ◽  
Tax System ◽  
Russian Economy ◽  
The Russian Federation

В статье рассмотрены проблемы развития цифровой экономики в России, а также проблемы цифровой трансформации, в частности, цифровизации процессов налоговой системы Российской Федерации. Целью исследования является анализ изменений налоговой системы Российской Федерации и системы налогового контроля под влиянием цифровых технологий. Научная новизна полученных результатов заключается в определении дальнейших перспектив и направлений развития налоговой системы РФ в условиях цифровизации российской экономики, которые необходимы для принятия эффективных решений по управлению налоговой системой региона и страны в целом. The article considers the problems of the development of the digital economy in Russia, as well as the problems of digital transformation, in particular, the digitalization of the processes of the tax system of the Russian Federation. The purpose of the study is to analyze changes in the tax system of the Russian Federation and the system of tax control under the influence of digital technologies. The scientific novelty of the results obtained consists in determining the further prospects and directions for the development of the tax system of the Russian Federation in the conditions of digitalization of the Russian economy, which are necessary for making effective decisions on managing the tax system of the region and the country as a whole.

Ethical Behavior and Legal Regulations in Artificial Intelligence (Part One)

2021 ◽  
pp. 12-26
Author(s):  
Mandy Goram ◽  
Dirk Veiel
Keyword(s):  
Artificial Intelligence ◽  
Ethical Behavior ◽  
Intelligent Systems ◽  
Adaptive System ◽  
Intelligent System ◽  
Legal Regulations ◽  
Legal Requirements

Artificially intelligent systems should make users' lives easier and support them in complex decisions or even make these decisions completely autonomously. However, at the time of writing, the processes and decisions in an intelligent system are usually not transparent for users. They do not know which data are used, for which purpose, and with what consequences. There is simply a lack of transparency, which is important for trust in intelligent systems. Transparency and traceability of decisions is usually subordinated to performance and accuracy in AI development, or sometimes it plays no role at all. In this chapter, the authors describe what intelligent systems are and explain how users can be supported in specific situations using a context-based adaptive system. In this context, the authors describe the challenges and problems of intelligent systems in creating transparency for users and supporting their sovereignty. The authors then show which ethical and legal requirements intelligent systems have to meet and how existing approaches respond to them.

scholarly journals Sensing and Biosensing in the World of Autonomous Machines and Intelligent Systems

2021 ◽  
Vol 2 ◽  
Author(s):  
Osvaldo N. Oliveira ◽  
Maria Cristina F. Oliveira
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Train Station ◽  
The World ◽  
Autonomous Machines

In this paper we discuss how nanotech-based sensors and biosensors are providing the data for autonomous machines and intelligent systems, using two metaphors to exemplify the convergence between nanotechnology and artificial intelligence (AI). These are related to sensors to mimic the five human senses, and integration of data from varied sources and natures into an intelligent system to manage autonomous services, as in a train station.

scholarly journals Strategic development of scientific and technical potential of industry during the digital transformation of economy

2021 ◽  
Vol 14 (4) ◽  
pp. 410-417
Author(s):  
T. O. Tolstykh ◽  
S. E. Afonin
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
The Internet ◽  
Strategic Development ◽  
Industrial Enterprises ◽  
Current State ◽  
Technical Potential ◽  
The World ◽  
The Internet Of Things

Currently the speeding up of digital transformation makes it obvious that application of digital technologies and the degree of involvement into digital transformation is an essential and significant aspect of scientific and technical potential of an industrial enterprise. The article is devoted to the analysis of trends and prospects of development of basic technologies which are the basis for digital transformation of the world economics: the Internet of things, artificial intelligence, robotization and technologies of the big data processing. The authors present the assessment of the current state of digitalization for Russian industrial enterprises by analyzing the data on the implementation of the above mentioned technologies in business-process.

scholarly journals Improvement of Investment Attractiveness and Efficiency of Agriculture Enterprises as a Result of Digital Technologies

2020 ◽  
Vol 9 (3) ◽  
pp. 3036-3040
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Agricultural Products ◽  
Industrial Complex ◽  
Innovative Development ◽  
Agricultural Enterprises ◽  
Registry System ◽  
Fixed Assets ◽  
The Russian Federation

The article considers the main projects aimed at innovative development and digital transformation of agriculture in Russia. This topic is very relevant in connection with programs of the Russian Federation government aimed at the innovative development of the country's economy in general, and in particular within the framework of the project on digitalization of agriculture. The aim of the study is to develop a mechanism for applying blockchain and token decentralized registry systems to improve efficiency of agricultural enterprises. The options for introducing artificial intelligence into the work of the agro-industrial complex, as well as the effect that can be obtained, are analyzed. Ideas of using the distributed blockchain registry system in managing fixed assets of agricultural enterprises and the scheme of creating a database across the country are presented. The methods of using tokens for the conclusion of contracts and sale of agricultural products, which will allow to build mutually beneficial cooperation for buyers and sellers of agricultural products, and receive reliable information about the methods of its cultivation.

Data on Digital Transformation in the German Socio-Economic Panel

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Alexandra Fedorets ◽  
Stefan Kirchner ◽  
Jule Adriaans ◽  
Oliver Giering
Keyword(s):  
Artificial Intelligence ◽  
Empirical Evidence ◽  
Empirical Research ◽  
Digital Technologies ◽  
Household Survey ◽  
Digital Transformation ◽  
Reliable Data ◽  
Evidence Based ◽  
The World ◽  
Public Debates

Abstract Public debates and current research on “digitalization” suggest that digital technologies could profoundly transform the world of work. While broad claims are common in these debates, empirical evidence remains scarce. This calls for reliable data for empirical research and evidence-based policymaking. We implemented a data module in the Socio-Economic Panel to gather information on digitalization in three domains: artificial intelligence (AI), platform work, and digitalized workplace. This paper describes the existing approaches to measure technological exposure, the challenges in operationalization of digital transformation in a household survey, the implemented questionnaire items, and the research potential of this new data.

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