scholarly journals Formation of International Ethical Digital Environment with Smart Artificial Intelligence

2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Evgeny Bryndin
Author(s):  
Evgeny Bryndin

Intellectual agent ensembles allow you to create digital environment by professional images with language, behavioral and active communications, when images and communications are implemented by agents with smart artificial intelligence. Through language, behavioral and active communications, intellectual agents implement collective activities. The ethical standard through intelligent agents allows you to regulate the safe use of ensembles made of robots and digital doubles with creative communication artificial intelligence in the social sphere, industry and other professional fields. The use of intelligent agents with smart artificial intelligence requires responsibility from the developer and owner for harming others. If harm to others occurred due to the mistakes of the developer, then he bears responsibility and costs. If the damage to others occurred due to the fault of the owner due to non-compliance with the terms of use, then he bears responsibility and costs. Ethical standard and legal regulation help intellectual agents with intelligent artificial intelligence become professional members of society. Ensembles of intelligent agents ith smart artificial intelligence will be able to safely work with society as professional images with skills, knowledge and competencies, implemented in the form of retrained digital twins and cognitive robots that interact through language, behavioral and active ethical communications. Cognitive robots and digital doubles through self-developing ensembles of intelligent agents with synergistic interaction and intelligent artificial intelligence can master various high-tech professions and competencies. Their use in the industry increases labor productivity and economic efficiency of production. Their application in the social sphere improves the quality of life of a person and society. Their widespread application requires compliance with an ethical standard so that their use does not cause harm. The introduction and use of an ethical standard for the use of cognitive robots and digital doubles with smart artificial intelligence increases the safety of their use. Ethical relationships between individuals and intellectual agents will also be governed by an ethical standard.


2020 ◽  
Vol 2 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Francesco Contini

The paper connects the potentially disruptive effects of Artificial Intelligence (AI) deployment in the administration of justice to the pre-existing trajectories and consequences of court technology development. The theoretical framework combines Luhmann’s theory of technology with actor–network theory to analyse how the new digital environment affects judicial agency. Then, it explores law and technology dynamics to map out the conditions that make legal the use of technologies in judicial proceedings. The framework is applied to analyse ‘traditional’ digital technologies (simple online forms and large-scale e-justice platforms) and AI-based systems (speech-to-text and recidivism assessment). The case comparison shows similarities and dynamics triggered by AI and traditional technologies, as well as a radical difference. While system developers and owners remain accountable before the law for the functioning of traditional systems, with AI, such accountability is transferred to users. Judges—users in general—remain accountable for the consequences of their actions supported or suggested by systems that are opaque and autonomous. This contingency, if not adequately faced with new forms of accountability, restricts the areas in which AI can be used without hampering judicial integrity.


2011 ◽  
Vol 9 (4) ◽  
pp. 377-395 ◽  
Author(s):  
Erik Champion ◽  
Andrew Dekker

This paper explains potential benefits of indirect biofeedback used within interactive virtual environments, and reflects on an earlier study that allowed for the dynamic modification of a virtual environment's graphic shaders, music and artificial intelligence, based on the biofeedback of the player. The aim was to determine which augmented effects aided or discouraged engagement in the game. Conversely, biofeedback can help calm down rather than stress participants, and attune them to different ways of interacting within a virtual environment. Other advantages of indirect biofeedback might include increased personalization, thematic object creation, atmospheric augmentation, filtering of information, and tracking of participants' understanding and engagement. Such features may help designers create more intuitive virtual environments with more thematically appropriate interaction while reducing cognitive loading on the participants. Another benefit would be more engaged clients with a better understanding of the richness and complexity of a digital environment.


2021 ◽  
Vol 8 (10) ◽  
pp. 108-115
Author(s):  
Vinichenko et al. ◽  

The aim of this article was to identify the nature of threats and risks for people and society from the digitalization of society and the introduction of artificial intelligence from the perspective of Russian and Slovak students of Generation Z. The main empirical research methods were questionnaires, in-depth interview and focus group. In the context of the COVID 19 pandemic limitations, the research was conducted remotely using Google Form, Skype, and Zoom. 1857 GenZ students from 35 Russian universities and 316 GenZ students from two Slovak universities took part in the survey. When comparing the populations of Russian and Slovak GenZ by qualitative characteristics, a very high positive correlation was revealed with the Pearson correlation coefficient R=0.962-0.9782. The following trend was revealed: an increase in the rate of digitalization of society and the introduction of AI in comparison with the rate of study by society, a person of the possibilities of the digital environment, AI, and their mastery of technologies for using AI. The study revealed a stable connection: digitalization and AI create comfortable conditions for human life and at the same time generate a danger for human dependence on the digital environment. The main directions for the further development of this study can be studying this problem in other countries, the definition of a methodology for identifying threats and risks, and the development of a set of measures to overcome them.


2021 ◽  
Vol 93 ◽  
pp. 04005
Author(s):  
Irina Shapovalova ◽  
Alexander Pavlov

The article discusses a scope of relevant issues concerning recruitment market; in particular, its analysis in the conditions of digitalization. It assesses the companies’ strategies of the economic behavior and defines their priority development strategies while focusing on the outcome of each applied strategy. The study determines the role of the employee in the digital economy and the role of the recruiting services in the service industry. Its main objective is to review and study the digital processes inherent to the recruitment industry as well as the tendencies in the recruitment market and to outline the principles of work and organization of recruitment agencies. The theoretical background of the study is based on the related publications by Russian and foreign researchers dedicated to a wide range of issues; the ones subject to analysis include development of Russia’s recruitment market in retrospect, current condition of the recruitment market, pros and cons of artificial intelligence technologies used in the field and prospects of gaining profit from using both artificial intelligence technologies and regular employees in the key areas of HR agencies’ work (staffing, training, job simulation). Much attention is paid to the distance work performed by HR agencies, specifically, to b-2-b and b-2-c concepts as well as to the digital platforms providing for the performance of such activities. Additionally, the research deals with the complexities and bottlenecks that recruitment agencies face with when working with the digital environment; it provides examples of the transformation processes that have been observed in the principles of the HR technologies application due to the digitalization effects and elicits the omnipresence of the digital environment in all the branches of the recruiting services while suggesting efficient tools, platforms and patterns that can be workable in the industry.


2021 ◽  
Vol - (3) ◽  
pp. 180-200
Author(s):  
Mykhailo Bogachov

Artificial intelligence is a computer system that thinks or acts like humans. Features of AI systems embody implicit beliefs concerning the human nature that AI developers have. “Strong” AI, which has the general cognitive abilities of an adult, has not yet been created, while “weak” AI is already part of the planetary computation infrastructure. Neural network AI mimics specific types of human behavior, generalizing data about the everyday lives of its users. This AI approach corresponds to the philosophical mainstream of the 20th century, when everyday life was seen as a source of the linguistic and the social pre-given that yields mutual understanding. This approach is also based on the traditional human-machine dichotomy and the corresponding idea that human nature is stable and independent of the technological condition. However, in the post-metaphysical age, when human interaction with technology is communicative rather than instrumental, data on everyday life cannot be an independent paragon of the human nature. AI systems do not only codify the descriptive features of human nature, but also discipline their users, as the digital environment in which everyday data can be collected is already organized by AI. Accordingly, in the digital environment, people are forced to reproduce new norms of behavior, codified by AI, which became one of the forms of human self-mastery, or anthropotechnology. The impact of AI is rarely noted, as the digital environment in which people interact with AI is not organized in a way that is clearly understandable. The anthropotechnological nature of AI is a side effect of the development of platforms, so AI developers rarely take responsibility for the norms embodied in the systems they create.


2020 ◽  
pp. 66-70
Author(s):  
D.V. Lukashenko ◽  

Presented are stages of transformation of the education system, based on the criterion of technological representation and knowledge acquisition. Features of transformation of the education system in accordance with change in technology in education through acquisition of knowledge by subjects on the basis of technologies implemented in education are examined. Four stages are distinguished, and the last one related to integration of artificial intelligence in the educational environment in direction of development of Education 4.0 is considered in more detail. The concept of person-develop of personality in digital environment, based on cognitive processing of information by a person is presented. Feature of the person-develop concept allows to replace progressive receipt of information by a person in development of person in direction of relevance and individuality of receiving information, forming an attractor of development. Necessity of using the concept of an attractor instead of a trajectory, that allows one to consider multi-dimensionality and variability of personality development in digital environment, is substantiated. The basis for implementation of the concept of person-develop is the concept of content, sliding across the information space. This concept considers development of personality in digital environment through formation of trans-disciplinarity of consumed content. Content-slide is presented as an attractor of personality development, associated with deviations, that occur during the analysis and assimilation of content. Due to the content slide, personality sets an individual direction of his development in information developing space. The article considers the direction of integration into information developing space of artificial intelligence, that will transform the content, consumed by the individual into image models, corresponding to the cognitive orientation of personality for its productive analysis and assimilation.


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