Abstract
Purpose: The purpose of the paper is to substantiate the differences between the needs of economic subjects in different spheres of economy in competencies of AI and to develop the scientific and methodological recommendations for measuring and managing the competence of AI.
Design/methodology/approach: The author develops and uses the scientific and methodological approach to measuring the competence of AI. The approach includes the algorithm, (sequence of actions), set of questions for expert evaluation, formula, and scale for treatment of the results.
Findings: It is substantiated that in each sphere of economy AI could improve its business process and this is assigned specific functions, which execution requires the presence of various competencies. In this paper, a general classification of AI competencies within the main spheres of economy – service, trade, industry, and agriculture – is performed. The scientific and methodological recommendations for measuring and managing the competence of AI are offered.
Originality/value: It is proved that the competence-based approach allows ensuring the necessary flexibility of AI and is thus preferable for its management. The offered recommendations for applying this approach allow achieving successful commercialization of AI. This will allow preventing a possible crisis of overproduction, connected to impossibility to sell the universal AI, developed by universities and research institutes by the order of the government, to companies. The competence-based approach will ensure the necessary adaptation of AI to the needs and specifics of each company. Due to this, AI will be in demand not only in theory but also in practice, and will allow increasing the effectiveness of economic activities.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bagdasarian, I., Vasilyeva, Z., Almabekova, O., Titiberiya, R.: National system of qualifications as a mechanism for ensuring an integrated approach to the development of human capacity in the Yenisei SiberiaInt. Multi. Sci. GeoConference Surveying Geol. Min.Ecol. Manag. SGEM, 19, 223–228 (2019a)
Bagdasaryan, I., Stupina, A., Zhanna, S., Titiberiya, R., Vaitekunene, E.: Training of it-personnel in the interior of “Digital economy”. Int. Multi. Sci. GeoConference Surveying Geol. Min. Ecol. Manag. SGEM, 19, 385–392 (2019b)
Bouhdidi, J.E., Ghailani, M., Douas, F., Fennan, A.: Modelling an adaptive e-learning system for implementing competencies-based approach. Int. J. Knowl. Learn. 11(1), 82–92 (2016)
Keator, C.S., Dickinson, B.L., Lackey, W.L., Vanden Heuvel, G.B., Vandre, D.D.: Explorations: a new approach to self-directed learning in a competency-based curriculum. Med. Sci. Educ. 26(4), 777–785 (2016)
Kytmanov, A.A., Noskov, M.V., Safonov, K.V., Savelyeva, M.V., Shershneva, V.A.: Competency-based learning in higher mathematics education as a cluster of efficient approaches. Bolema – Math. Educ. Bull. 30(56), 1113–1126 (2016)
Petrenko, E., Pritvorova, T., Dzhazykbaeva, B.: Sustainable developmet processes: service sector in post-industrial economy. J. Secur. Sustain. Issues 7(4), 781–791 (2018). https://doi.org/10.9770/jssi.2018.7.4(14)
Popkova, E.G.: Preconditions of formation and development of industry 4.0 in the conditions of knowledge economy. Studies Syst. Decis. Control 169(1), 65–72 (2019)
Popkova, E.G., Egorova, E.N., Popova, E., Pozdnyakova, U.A.: The model of state management of economy on the basis of the internet of things. Studies Comput. Intell. 826(1), 1137–1144 (2019)
Popkova, E.G., Morozova, I.A., Litvinova, T.N.: Transformational processes in the media system under industry conditions 4.0: future outlines and perspectives (reflections on the article by Alexander P. Sukhodolov, DSc. In Economics, Professor and Irina A. Kuznetsova, PhD in Engineering, Associate Professor “Designing the mass media as a homeostatic system by means of automation engineering: Basic concepts, structure, components”). Theor. Pract. Issues Journalism, 7(1), 145–154 (2018)
Popkova, E.G., Parakhina, V.N.: Managing the global financial system on the basis of artificial intelligence: possibilities and limitations. Lect Notes Netw. Syst 57(1), 939–946 (2019)
Popkova, E.G., Sergi, B.S.: Will Industry 4.0 and Other Innovations Impact Russia’s Development? In: Sergi, B.S, (ed.) Exploring the Future of Russia’s Economy and Markets: Towards Sustainable Economic Development, pp. 51–68. Emerald Publishing Limited, Bingley (2018)
Popkova, E.G., Sergi, B.S. (eds.): Digital Economy: Complexity and Variety vs. Rationality. Springer International Publishing, New York (2019)
Ragulina, Y.V.: Priorities of development of industry 4.0 in modern economic systems with different progress in formation of knowledge economy. Stud. Syst. Decision Control, 169, 167–174 (2019)
Sergi, B.S., Popkova, E.G., Sozinova, A.A., Fetisova, O.V.: Modeling russian industrial, tech, and financial cooperation with the Asia-Pacific Region. In: Sergi, B.S. (ed.) Tech, Smart Cities, and Regional Development in Contemporary Russia. Emerald Publishing Limited, Bingley (2019)
Sergi, B.S. (ed.): Tech, Smart Cities, and Regional Development in Contemporary Russia. Emerald Publishing Limited, Bingley (2019)
United Nations: AI policy (2019). URL: https://futureoflife.org/ai-policy-united-nations. Accessed 19 Oct 2019
Wojcik, W., Kubekov, B., Naumenko, V., Toibayeva, S., Utegenova, A.: Project - Competency based approach and the ontological model of knowledge representation of the planned learning. Int. J. Electron. Telecommun. 65(1), 45–49 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Bagdasarian, I.S. (2020). Competence of AI: Measuring and Management. In: Popkova, E., Sergi, B. (eds) Scientific and Technical Revolution: Yesterday, Today and Tomorrow. ISC 2019. Lecture Notes in Networks and Systems, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-030-47945-9_33
Download citation
DOI: https://doi.org/10.1007/978-3-030-47945-9_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-47944-2
Online ISBN: 978-3-030-47945-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)