Managing the Global Financial System on the Basis of Artificial Intelligence: Possibilities and Limitations

Popkova, Elena G.; Parakhina, Valentina N.

doi:10.1007/978-3-030-00102-5_100

Cited by 81 publications

(14 citation statements)

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“…Mr owczy nska et al (2019) write that AI could be used as a tool for supporting the local policy of sustainable development. Popkova and Parakhina (2019) offer to control the global financial system based on AI, as it opens new opportunities but also has some limitations.…”

Section: Literature Reviewmentioning

confidence: 99%

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Popkova

Sergi

2020

JIC

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208

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PurposeThe purpose of this article is to determine the future proportion and variants of usage of human intellect and artificial intelligence (AI) in entrepreneurship of industry 4.0 that fits social entrepreneurship the most. It could be convergence (simultaneous utilization during the same entrepreneurial processes with the emphasis on unique features by the terms of the competition) or divergence (usage during different business processes by the terms of labor division).Design/methodology/approachThe authors determine the influence of usage of human capital and AI on the efficiency of social entrepreneurship. The authors identify the perspective directions of usage of AI in social entrepreneurship and evaluate the readiness and interest in the implementation of these directions of concerned parties. The authors also model the optimal proportions and the variant of usage of human intellect and AI in social entrepreneurship in the conditions of Industry 4.0 in the future (until 2030).FindingsIt is found that social entrepreneurship will use the opportunities of Industry 4.0 for optimization of its activities until 2030, but will refuse from full automatization, using human intellect and AI at the same time.Originality/valueThe most perspective directions of application of AI at social companies are a collection of social goods and services, marketing studies and promotion of social goods and services. Neither convergence nor divergence of human and artificial intellectual capital does not fully conform to the interests of concerned parties. The most preferable (optimal) variant of usage of human intellect and AI in social entrepreneurship in the Industry 4.0 is human intelligent decision support.

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Section: Literature Reviewmentioning

confidence: 99%

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Popkova

Sergi

2020

JIC

Self Cite

208

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“…Popkova et al (2017b) describe new challenges to human capital from the positions of its infrastructural role in the system of entrepreneurship due to distribution of AI. Popkova and Parakhina (2019) offer a concept of managing the global financial system based on AI, acknowledging its limitations that are connected to imperfection of AI. Popkova and Sergi (2018) substantiate the vivid influence of Industry 4.0 and other innovations (AI, in particular) on the innovative development of economy (proved by the example of modern Russia).…”

Section: Literature Reviewmentioning

confidence: 99%

Perspective directions of state regulation of competition between human and artificial intellectual capital in Industry 4.0

Bogoviz

2020

JIC

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PurposeThe purpose of the research is to determine the perspective directions of state regulation of competition between human and artificial intellectual capital in Industry 4.0 and to develop scientific and methodological recommendations for their implementation. For this, the directions of state regulation of competition between human and artificial intellectual capital are described, monitoring of competition between human and artificial intellectual capital by the example of modern Russia (2019) is performed and scientific and practical recommendations for state regulation of competition between human and artificial intellectual capital are developed, with their approbation by the example of modern Russia (2019).Design/methodology/approachA method of expert evaluation is used for collection of the information and empirical data. The method of comparative analysis is used for comparing the successfulness of implementing the distinguished directions of state regulation of competition between human and artificial intellectual capital (4.1) according to the official statistics to their current evaluation according to the interested parties. Also, future evaluation (forecasts) according to the interested parties (until 2045) is determined.FindingsIt is substantiated that during evaluation of state regulation of competition between human and artificial intellectual capital in Industry 4.0, one cannot use only the official statistics, as these data are fragmentary and indirect. Fuller and more precise data are provided by assessment according to the interested parties. They allow determining the current and the future state of affairs and, based on it, compiling a forecast and developing a long-term strategy of state regulation of competition between human and artificial intellectual capital in Industry 4.0.Originality/valueThe perspective directions of state regulation of competition between human and artificial intellectual capital in Industry 4.0 are as follows: stimulation of competition in the market of intellectual capital, social risk management of the market of intellectual capital, managing international competition in the market of intellectual capital and ecological risk management of the intellectual capital market. As the experience of modern Russia shows, even at the initial stage of transition to Industry 4.0, the measures of state regulation of competition between human and artificial intellectual capital are not enough, but their deficit is moderate. In the course of development of Industry 4.0, the necessity for the measures of regulation will grow, and their deficit will increase. That's why there's a need for strategic approach to their implementation, which envisages their systemic reconsideration and supplementing. An author's algorithm is offered for this.

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“…The fundamental provisions and accumulated practical experience of digital modernization of the system of science and higher education are also reflected in a range of publications, including the works of Popkova (2019), Popkova et al (2019), Popkova and French (2017), Popkova et al (2017a, b), Popkova et al (2018b), Popkova et al (2018a), Popkova et al (2017a, b), Popkova and Parakhina (2019), Popkova and Sergi (2018) and Popkova and Sergi (2019). Kim et al (2019) note the important role of academic involvement and digital readiness in students' achievements in the university environment of online learning.…”

Section: Literature Reviewmentioning

confidence: 99%

Science and education in the form 4.0: public policy and organization based on human and artificial intellectual capital

Vodenko

Lyausheva

2020

JIC

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PurposeThe purpose of the paper is to develop a concept of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.Design/methodology/approachThe methods of regression and correlation analysis are used. The role of human and artificial intellectual capital for provision of effectiveness and competitiveness of the system of science and education is determined, as well as its correspondence to the modern challenges. Analysis of perspectives and limitations of automatization of the system of science and education based on AI is conducted; a model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital is compiled.FindingsIt is established that in the system of science and education, the decisive production factor is intellectual capital, but human intellect does not necessarily have to dominate in its structure. AI is one of the most popular technologies of Industry 4.0 in the system of science and education, which has wide perspectives of practical implementation. As experience of the leading world universities, which had the highest level of digitization in 2018, showed, foundation on non-breakthrough digital technologies (computer equipment and Internet) does not allow opening the potential of increase of indicators of effectiveness and competitiveness of the system of science and education and bringing it in correspondence to the modern challenges based on digitization. However, correlation of activity of application of artificial intellectual capital with these indicators is four times higher (0.2), as compared to correlation of these indicators with activity of application of human intellectual capital (0.05). This shows demand for digitization of the system of science and education, but based on breakthrough digital technologies, of which AI should become the key one.Originality/valueIt is substantiated that higher education could be automatized based on AI by 85% and science by 63%. Therefore, on the whole in the system of science and education, the share of AI in the structure of intellectual capital could reach 74% ((85 + 63)/2). It is recommended to use the developed model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.

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Managing the Global Financial System on the Basis of Artificial Intelligence: Possibilities and Limitations

Cited by 81 publications

References 14 publications

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Perspective directions of state regulation of competition between human and artificial intellectual capital in Industry 4.0

Science and education in the form 4.0: public policy and organization based on human and artificial intellectual capital

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