scholarly journals Economic Processes in the Conditions of Digitalization of Modern Society

2021 ◽  
Vol 93 ◽  
pp. 01012
Author(s):  
Zhanna Bakaeva ◽  
Alexey Stepanov ◽  
Ella Shchegoleva ◽  
Sergey Imyarekov ◽  
Irina Steklova
Keyword(s):  
Artificial Intelligence ◽  
Modern Society ◽  
Computing Systems ◽  
Goods And Services ◽  
Research Activities ◽  
The Subject ◽  
Ethical Norms ◽  
International Services ◽  
Smart Computing ◽  
Financial Environment

The article deals with the problem of digitalization in the economic processes of modern societies. The fundamental aspects of economic processes are the development international trade and international services. Communications define "proprietary" technologies as factors of Informatization and digitalization of society. An important element of building "smart" computing systems is artificial intelligence. Creating the concept of artificial intelligence has its own shortcomings, which are reflected in the allocation ethical norms and principles of the financial environment modern society. The effectiveness of the digital environment is determined by the principle of "successful functioning" of the subject, taking into account the temporary accumulation goods and services in globalization and digitalization. Research activities contribute to the development digitalization of economic processes in the structure digitalization society.

scholarly journals Theoretical aspects of digitalization in social management

Communicology ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 53-64
Author(s):  
S. A. Ryumshin
Keyword(s):  
Artificial Intelligence ◽  
Goal Setting ◽  
System Analysis ◽  
Digital Technologies ◽  
Modern Society ◽  
Historical Background ◽  
Management Tools ◽  
Social Communications ◽  
The Subject ◽  
Social Management

The paper discusses the issues of digitalization of modern society. Within the framework of the system analysis of the subject of research, the author highlights the theoretical aspects of digitalization in social management, examines the historical background for digitalization; social management is represented through the categories of selfgovernment, organizational order, goal-setting, subject-subject interactions, management tools. In the system of social communications, digital technologies and artificial intelligence are presented by the author as a new socio-digital reality that transforms the environment of interaction. The author’s review of the main stages and markers of the development of digitalization made it possible to update the list of positive aspects in social management, as well as problems caused by the digitalization process.

scholarly journals Artificial intelligence: legal and ethical aspects

2021 ◽  
pp. 63-71
Author(s):  
Al'bina Slavovna Lolaeva ◽  
Kristina Ushangievna Sakaeva
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Autonomous Systems ◽  
Modern Society ◽  
Ethical Aspects ◽  
Legal Decisions ◽  
Human Ability ◽  
Ethical Norms ◽  
Legal Difficulties ◽  
And Control

Ethical norms and the law are indispensably linked in the modern society. The adoption of major legal decisions is affected by various ethical rules. Artificial intelligence transforms the indicated problems into a new dimension. The systems that use artificial intelligence are becoming more autonomous by complexity of the tasks they accomplish, and their potential implications on the external environment. This diminishes the human ability to comprehend, predict, and control their activity. People usually underestimate the actual level of the autonomy of such systems. It is underlined that the machines based on artificial intelligence can learn from the own experience, and perform actions that are not meant by the developers. This leads to certain ethical and legal difficulties that are discussed in this article. In view of the specificity of artificial intelligence, the author makes suggestions on the direct responsibility of particular systems. Based on this logic, there are no fundamental reasons that prevent the autonomous should be held legally accountable for their actions. However, the question on the need or advisability to impose such type of responsibility (at the present stage specifically) remains open. This is partially due to the ethical issues listed above. It might be more effective to hold programmers or users of the autonomous systems accountable for the actions of these systems. However, it may decelerate innovations. This is namely why there is a need to find a perfect balance.

scholarly journals One of the Ways of Artificial Intelligence Implementation in Forecasting

2018 ◽  
Vol 28 (3) ◽  
pp. 500-507
Author(s):  
Tatiana Belych ◽  
Anna Burdukovskaya
Keyword(s):  
Artificial Intelligence ◽  
Oil Prices ◽  
Modern Society ◽  
The State ◽  
Reference Mark ◽  
Factors Affecting ◽  
The Neural Network ◽  
The Subject ◽  
Main Factors ◽  
The Cost

Oil and its refinery products have always been the most important source of energy for modern society, and, therefore, one cannot imagine the life of mankind in any field of its activity without this resource. Energy, military defense, transport, agriculture, domestic needs of the population, the economy of the country are directly dependent on oil and its prices, it plays an extremely important role for Russia in particular, since it is the main revenue item for the state, therefore, forecasting oil prices is a primary task. The purpose of the article is to forecast the prices for this resource for April-August 2018 on the basis of the neural network model use as one of the ways to implement artificial intelligence. Oil prices have been chosen as the object of forecasting, and the subject is the dynamics of oil prices. The choice of the object and the subject of forecasting was conditioned by the fact that the price of oil is one of the main factors affecting the state and pace of development of the domestic economy, and primarily GDP. The pricing of many types of oil is determined by the price of the Brent crude oil reference mark, including the cost of three out of five Russian export brands: Urals, Siberian Light and REBCO, calculated on the basis of Brent prices.

scholarly journals Robotization and Artificial Intelligence: Criminal Law Risks in the Field of Public Security

2020 ◽  
Vol 15 (6) ◽  
pp. 169-178
Author(s):  
Yu. V. Gracheva ◽  
A. A. Aryamov
Keyword(s):  
Artificial Intelligence ◽  
Social Relations ◽  
Criminal Law ◽  
Large Scale ◽  
Modern Society ◽  
Criminal Code ◽  
Public Security ◽  
Legal Risks ◽  
Legal Space ◽  
The Subject

Large-scale robotization is becoming one of the challenges of modern society. Jurisprudence in general and criminal law in particular cannot remain aloof from the challenges associated with the introduction of artificial intelligence in all spheres of public life. The process of forming the legal space has begun, but there is no comprehensive approach to solving the problem, since scientists consider robots within the framework of only those social relations that are part of the subject of the relevant branch of law. In this regard, there is a lag in the development, for example, of criminal law norms, since the process of determining the civil law status of a robot is not completed, and the construction of the concept of criminal law risks in robotics and artificial intelligence depends on it. The paper attempts to describe the criminal legal risks of using robotics and artificial intelligence for public security, to assess the available criminal legal means of counteracting the onset of socially dangerous consequences in the absence of adequate measures, to propose directions for improving the Criminal Code of the Russian Federation.

PHILOSOPHICAL PROPAEDEUTICS IN THE SYSTEM OF PRESCHOOL EDUCATION

2020 ◽  
Vol 22 (11) ◽  
pp. 11-15
Author(s):  
Gan N.Yu. ◽  
Ponomareva L.I. ◽  
Obukhova K.A.
Keyword(s):  
Modern Science ◽  
Preschool Education ◽  
Modern Society ◽  
Social Relevance ◽  
The Social ◽  
Moral Problems ◽  
The Subject ◽  
The One ◽  
The Individual ◽  
And Training

Today, worldview, spiritual and moral problems that have always been reflected in education and upbringing come to the fore in society. In this situation, there is a demand for philosophical categories. One of the priority goals of education in modern conditions is the formation of a reasonable, reflexive person who is able to analyze their actions and the actions of other people. Modern science is characterized by an understanding of the absolute value and significance of childhood in the development of the individual, which implies the need for its multilateral study. In the conditions of democratization of all spheres of life, the child ceases to be a passive object of education and training, and becomes an active carrier of their own meanings of being and the subject of world creation. One of the realities of childhood is philosophizing, so it is extremely timely to address the identification of its place and role in the world of childhood. Children's philosophizing is extremely poorly studied, although the need for its analysis is becoming more obvious. Children's philosophizing is one of the forms of philosophical reflection, which has its own qualitative specificity, on the one hand, and commonality with all other forms of philosophizing, on the other. The social relevance of the proposed research lies in the fact that children's philosophizing can be considered as an intellectual indicator of a child's socialization, since the process of reflection involves the adoption and development of culture. Modern society, in contrast to the traditional one, is ready to "accept" a philosophizing child, which means that it is necessary to determine the main characteristics and conditions of children's philosophizing.

Changes in environment as cause for environmentally induced migration of people

2017 ◽  
pp. 527-537
Author(s):  
Aleksandra Ljustina
Keyword(s):  
Ad Hoc ◽  
Social Issues ◽  
Human Life ◽  
Modern Society ◽  
Human Interaction ◽  
Complex Relation ◽  
Environmental Migration ◽  
Global Environmental ◽  
Adequate Definition ◽  
The Subject

Migration is one of the oldest and most used strategies for overcoming negative social issues. Despite the fact that it is historically deeply rooted, environmental migration as a social phenomenon has only recently become the subject research of numerous scientific fields. However, the study of current environmental migration is characterized by a number of issues, such as absence of an adequate definition and multi-causality of environmental migration. In this paper, through conceptual framework, author analyzed two main questions: who are environmental migrants and what reasons cause environmental migration. Due to the destruction of the global environmental balance, as well as accumulated environmental disturbances, it is likely that environmental migration will increase in future and there is nowhere you cannot make more use of scientific and professional projection of the future than in demographic and environmental spheres of human life. There is no doubt that our future is unpredictable. However, the environmental factors influencing the pattern of human interaction with the environment must be taken into account when projecting future development of the modern society. Such is the context in which the complex relation among migration, change and the environment has to be studied. In order to establish the basis for controlling environmental migration caused by negative changes in the environment, it is necessary to adopt a consistent strategy instead of ad hoc activities that are being used. In this paper, author analyzed societal response for the challenges caused by environmental migration, specifically regarding actions related to governing environmental migrations.

scholarly journals Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

scholarly journals Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

2021 ◽  
Vol 13 (11) ◽  
pp. 6038
Author(s):  
Sergio Alonso ◽  
Rosana Montes ◽  
Daniel Molina ◽  
Iván Palomares ◽  
Eugenio Martínez-Cámara ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Sustainable Development Goals ◽  
Modern Society ◽  
Agenda 2030 ◽  
Model Based ◽  
Development Goals ◽  
Sustainability Challenges ◽  
New Research ◽  
Decision Making Model

The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. According to the surveys, our decision making method is able to determine which of these technologies are worth investing in to lead new research to successfully tackle with sustainability challenges.

Autonomous vehicles: a review of the ethical, social and economic implications of the AI revolution

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shweta Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Design Methodology ◽  
Technological Advancement ◽  
Economic Implications ◽  
Content Type ◽  
The Public ◽  
Autonomous Cars ◽  
The Subject ◽  
Practical Implications

PurposeThere are ethical, legal, social and economic arguments surrounding the subject of autonomous vehicles. This paper aims to discuss some of the arguments to communicate one of the current issues in the rising field of artificial intelligence.Design/methodology/approachMaking use of widely available literature that the author has read and summarised showcasing her viewpoints, the author shows that technology is progressing every day. Artificial intelligence and machine learning are at the forefront of technological advancement today. The manufacture and innovation of new machines have revolutionised our lives and resulted in a world where we are becoming increasingly dependent on artificial intelligence.FindingsTechnology might appear to be getting out of hand, but it can be effectively used to transform lives and convenience.Research limitations/implicationsFrom robotics to autonomous vehicles, countless technologies have and will continue to make the lives of individuals much easier. But, with these advancements also comes something called “future shock”.Practical implicationsFuture shock is the state of being unable to keep up with rapid social or technological change. As a result, the topic of artificial intelligence, and thus autonomous cars, is highly debated.Social implicationsThe study will be of interest to researchers, academics and the public in general. It will encourage further thinking.Originality/valueThis is an original piece of writing informed by reading several current pieces. The study has not been submitted elsewhere.

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