scholarly journals Research on the New Direction of Artificial Intelligence Development Writer

2017 ◽  
Author(s):  
Kang Zhezhou
Keyword(s):  
Artificial Intelligence ◽  
Intelligence Development

scholarly journals ENVIRONMENTAL DIVERSIFICATION POLICY IN THE MUNICIPAL TRANSPORT MANAGEMENT SYSTEM

2019 ◽  
pp. 4-14
Author(s):  
Grygorii Monastyrskyi ◽  
Olena Borysiak ◽  
Andrii Kotsur
Keyword(s):  
Artificial Intelligence ◽  
Transport System ◽  
Management System ◽  
Management Policy ◽  
Electric Cars ◽  
Ecological Diversification ◽  
Smart Specialization ◽  
Intelligence Development ◽  
Transport Management ◽  
Ecological Types

The article is devoted to deepening of research the using of ecological types of transport in cities. Climate change, urbanization and increased mobility of the people are the basis for improvement of municipal transport management policy. The international experience of using of different types of transport on the basis of municipal ecology and the using of “smart” technologies is explored in the article. The diversification of transport and the increasing of popularity of ecological types of transport (trams, trains, bicycles, electric cars, etc.) are investigated. As a result, the using of ecological diversification policy in the municipal transport management system is proposed. The essence of the implementation of such policy is to approve the principles of sustainable development of the transport system, municipal ecology by promoting the ecological types of transport (bicycles, scooters, electric cars, trams, trains, etc.), taking into account the trends of artificial intelligence development and possibilities of smart specialization of the transport system. In addition, the ecological diversification policy predicts inclusion of the trends of artificial intelligence development and the possibilities of smart specialization in the transport system. The correlation assessment of the dynamic of transport using and the level of carbon dioxide emissions of transport in Ukraine were conducted. In the context of the research of features of the implementation of ecological diversification policy in the municipal transport management system, the prospects for the development of bicycle transport and bicycle tourism, the assessment of supply and demand for ecological types of transport, the development of the energy service market for ecological types of transport in the municipal transport management system were established.

scholarly journals Prospects for Development of Artificial Intelligence in the Scientific Learning of the World

2019 ◽  
Vol 10 (4) ◽  
Author(s):  
Aleksey Stepanenko ◽  
Diana Stepanenko
Keyword(s):  
Artificial Intelligence ◽  
System Approach ◽  
Systematic Approach ◽  
Scientific Information ◽  
Existing Problems ◽  
The World ◽  
Human Thinking ◽  
Intelligence Development ◽  
Artificial Intelligence Systems ◽  
Scientific Learning

In the process of comprehending the prospects for the artificial intelligence development, the authors come to a conclusion that in the scientific learning of the world the problematic issues of the artificial intelligence are connected with problematic issues of recognizing the artificial intelligence systems and ordinary human thinking The article performs an analysis of the concepts of «intelligence» and «artificial intelligence», in the process of which the intelligence is viewed through a systematic approach in its broad sense. The purpose of the article is to present a number of conclusions about the levels of development of scientific studies of the problems under investigation, is there any reason to argue that attempts to implement the epistemological characteristics of thinking in modern artificial intelligence systems have not only been undertaken but also successful, and whether is it possible to talk about full transfer of the intellectual functions to the technical systems, endowing them with epistemological tools (in the context of the discussion about strong and weak versions of the artificial intelligence). The authors study the concept of «phenomenology of intelligence», the perception of intelligence in various historical eras by famous philosophers and scientists of other branches of knowledge; they identify the artificial intelligence as a special branch of science, analyze the existing problems in this field. In writing the article, they use the system approach, the theoretical analysis of and generalization of the scientific information, the historical, predicted, critical and dialectical methods of investigation.

FEATURES AND TRENDS IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE

2021 ◽  
Vol 3 (5) ◽  
pp. 130-134
Author(s):  
E. A. ULANOV ◽  
Keyword(s):  
Artificial Intelligence ◽  
Modern Science ◽  
Robotic Technology ◽  
Special Area ◽  
Analytical System ◽  
Intelligence Development

The scale of the tasks being solved has turned AI into a special area of modern science. AI is a branch of science that studies ways to train a computer, robotic technology, or analytical system to think intelligently. The article reveals the essence and concept of artificial intelligence. The main features, problems, trends and prospects of artificial intelligence development are analyzed.

scholarly journals Public Opinion on Artificial Intelligence Development

2021 ◽  
Author(s):  
A.V. Merenkov ◽  
R. Campa ◽  
N.P. Dronishinets
Keyword(s):  
Artificial Intelligence ◽  
Public Opinion ◽  
Western Europe ◽  
Social Groups ◽  
Active Role ◽  
The United States ◽  
Master's Programs ◽  
Intelligence Development ◽  
And Control

In connection with the active role of Russia and other countries in the design and implementation of devices with artificial intelligence (AI), there is a need to study the opinion of different social groups on this technology and the problems that arise when using it. The purpose of this work is to analyze public opinion on AI, in Russia and various foreign countries, and the possible consequences of its implementation in different areas of human activity. The research has revealed students’ opinions about AI devices and the problems related to their development in Russia. The research methods adopted are a content analysis of foreign publications devoted to the study of public opinion on AI and a questionnaire survey. Overall, 190 students of the Ural Federal University enrolled in Bachelor’s and Master’s programs were interviewed. The analysis of publications devoted to the study of public opinion in the United States, Japan, and Western Europe, as well as the results of our survey, has led to the conclusion that the majority of people have only a vague idea of what AI devices are. Our study has revealed that 23.6% of the respondents know nothing about AI. 36% of the respondents believe that in the near future the most demanded specialists in the labor market will be those who create robots and control their work. The survey has also shown the important role of mass media and general and special education institutions in informing the population about the opportunities and problems that arise when devices that exceed human mental capabilities are created and enter the social fabric. Keywords: public opinion, artificial intelligence, subjects of public opinion, representations of social groups about artificial intelligence

scholarly journals THE FIRST STEPS IN ARTIFICIAL INTELLIGENCE DEVELOPMENT IN MEDICINE IN UZBEKISTAN

2020 ◽  
Vol 14 (4) ◽  
pp. 314-319
Author(s):  
Noiba Djamalitdinovna Azimova ◽  
Sherzod Pardaevich Ashirbaev ◽  
Igor Petrovich Vikhrov
Keyword(s):  
Artificial Intelligence ◽  
Intelligence Development

scholarly journals DIGITAL ECONOMY, ARTIFICIAL INTELLIGENCE, DEVELOPMENT OF ELECTRONICS IN THE CONTEXT OF PUBLIC ADMINISTRATION

2020 ◽  
pp. 59-72
Author(s):  
Georgii G. Malinetskii ◽  
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Industrial Revolution ◽  
Necessary Conditions ◽  
Digital Economy ◽  
Fourth Industrial Revolution ◽  
State Apparatus ◽  
Intelligence Development ◽  
Social Management ◽  
New Industrialization

From an interdisciplinary standpoint, the article considers federal development strategies for the digital economy, artificial intelligence, and electronics. It shows that they all basically proceed from the concept of the fourth industrial revolution, put forward at the Davos Economic Forum. In that concept, the development of the computer reality is considered, first of all, as a tool to increase the effectiveness of social management (“hypercontrol” in the terminology of J.Attali). At the same time, the world of Russia is solving other tasks related to new industrialization and to ensuring economic growth. And that leads to the need to significantly adjust the adopted strategies. The article draws attention to a number of key matters requiring such adjustment. Future engineering technologies, based on multidisciplinary approaches and the computer modeling, allow bringing public administration in Russia to a whole new level. The necessary conditions for that are the trust between managers and scientists, as well as an overcoming the “personnel disaster” in a number of structures of the state apparatus.

scholarly journals The social dilemma in artificial intelligence development and why we have to solve it

AI and Ethics ◽  
2021 ◽  
Author(s):  
Inga Strümke ◽  
Marija Slavkovik ◽  
Vince Istvan Madai
Keyword(s):  
Artificial Intelligence ◽  
Best Practices ◽  
Social Dilemma ◽  
Ethical Guidelines ◽  
Current Crisis ◽  
Development Ethics ◽  
The Social ◽  
Intelligence Development

AbstractWhile the demand for ethical artificial intelligence (AI) systems increases, the number of unethical uses of AI accelerates, even though there is no shortage of ethical guidelines. We argue that a possible underlying cause for this is that AI developers face a social dilemma in AI development ethics, preventing the widespread adaptation of ethical best practices. We define the social dilemma for AI development and describe why the current crisis in AI development ethics cannot be solved without relieving AI developers of their social dilemma. We argue that AI development must be professionalised to overcome the social dilemma, and discuss how medicine can be used as a template in this process.

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