Artificial Intelligence in the Scientific and Technological Paradigm of Global Economy
Dmytro Lukianenko
Kyiv National Economic University named after Vadym Hetman (Ukraine)
Anastasiia Simakhova
anastasiia.simakhova@npp.nau.edu.uaNational Aviation University (Ukraine)
Abstract
The article examines the impact of artificial intelligence (AI) technologies on global sustainable development. Artificial intelligence affects all three pillars of sustainable development: economic, social, and environmental. Based on the generalization of academic works and authoritative expert assessments, it is shown that this impact is ambiguous. By increasing technological capabilities and enhancing the efficiency of business, public administration, and the provision of administrative and social services, AI creates a number of socio-economic problems, primarily in the labor market, when hundreds of professions are discredited and may disappear. It has been confirmed that almost all sectors of the economy, including education and medicine, are subject to the large-scale impact of AI. AI is able to optimize the use of resources and increase energy efficiency, reducing waste, thus affecting the environmental pillar of sustainable development. The purpose of the article is a systematic study of the intellectual and technological landscape of the global economy with a cross-country analysis of its key indicators using the Kohonen algorithm. The author has positioned artificial intelligence in the technological paradigm of the twenty-first century. If scientific progress in materials science, energy, and mathematical computing led to the digital transformation with the emergence of Industry 4.0, then in synergy with bio- and quantum technologies, AI will form Industry 5.0, i.e., essentially a smart economy, through a technological explosion. To recreate the current global intellectual and technological landscape, the study used the Kohonen algorithm with the Deductor Studio package to analyze 128 countries by 5 indicators. The modeling allowed us to group them into 5 clusters, which makes a real comparative analysis possible. Similar modeling with the implementation of the AI indicator (number of robots per 10,000 population) for 18 countries allowed them to be grouped into 3 clusters according to the level of readiness of governments and society to interact with AI.
Keywords:
digital technologies, quantum technologies, biotechnology, artificial intelligence, Industry 5.0, smart economy.References
ALY H., 2022, Digital transformation, development and productivity in developing countries: is artificial intelligence a curse or a blessing? Review of Economics and Political Science, 7(4): 238-256, https://doi.org/10.1108/REPS-11-2019-0145.
Google Scholar
ANTONIUK et al., 2021, Digital economy. The impact of ICT on human capital and the formation of competencies of the future, KNEU, Ukraine
Google Scholar
BBC, 2016, Yuval Noah Harari: ‘We are probably one of the last generations of Homo sapiens’ https://www.bbc.com/news/av/uk-37171171 (22.05.2024)
Google Scholar
CHEN L., CHEN P., LIN Z., 2020, Artificial Intelligence in Education: A Review, IEEE Access, 8, 75264-75278, https://doi.org/10.1109/ACCESS.2020.2988510.
Google Scholar
CISCO, 2023, Digital Readiness Index, https://www.cisco.com/c/en/us/about/csr/research-resources/digital-readiness.html (22.05.2024).
Google Scholar
FEDERSPIEL F, MITCHELL R, ASOKAN A, UMANA C, MCCOY D., 2023, Threats by artificial intelligence to human health and human existence, BMJ Glob Health, 8(5): e010435, https://doi.org/10.1136/bmjgh-2022-010435.
Google Scholar
GOODMAN M., 2015, Future crimes, Doubleday, USA
Google Scholar
HATZIUS J., BRIGGS J., KODNANI D.,PIERDOMENICO G., 2023, The Potentially Large Effects of Artificial Intelli-gence on Economic Growth, https://static.proder360.com.br/2023/03/Global-Economics-Analyst_-The-Potentyally-Large-Effects-of-Artificial-Intelligence-on-Economic-Growth-Briggs_Kodnani.pdf (22.05.2024).
Google Scholar
HWANG G.-J., CHIEN S.-Y., 2022, Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective, Computers and Education: Artificial Intelligence, 3,
Google Scholar
https://doi.org/10.1016/j.caeai.2022.100082.
Google Scholar
IMD, 2023, World Digital Competitiveness Ranking, https://www.imd.org/centers/wcc/world-competitiveness-center/rankings/world-digital-competitiveness-ranking/ (22.05.2024).
Google Scholar
INDSET A., 2021. The Quantum Economy, ArtHuss, Ukraine
Google Scholar
JUNGWIRTH D., HALUZA D., 2023. Artificial Intelligence and the Sustainable Development Goals: An Exploratory Study in the Context of the Society Domain, Journal of Software Engineering and Applications, 16 91-112, https://doi.org/10.4236/jsea.2023.164006.
Google Scholar
KOGUT et al., 2019, Cybersecurity of the Digital Economy for Business Owners, Kyiv, Ukraine.
Google Scholar
KOHONEN T., 2001, Self-Organizing Maps, 3rd ed., Springer, Germany.
Google Scholar
KOLOT A.M. et al., 2023, The ecosystem of human resources of organizations as a concept and applied platform of hu-man-centeredness, Problems of Economics, 3(57): 282-291.
Google Scholar
KOLOT A.M., 2024, Ecosystemicity as an imperative of sustainable human development, preprint, KNEU, Ukraine.
Google Scholar
KOLOT A.M., GERASYMENKO O.O., SHEVCHENKO A.S., 2023, New challenges for the theory and practice of human capital in the context of the formation of ‘Industry 4.0’: competence aspect, Economy and society, 53: 15.
Google Scholar
LUKIANENKO D., STRELCHENKO I., 2021, Neuromodeling of features of crisis contagion on financial markets be-tween countries with different levels of economic development, Neuro-Fuzzy Modeling Techniques in Economics, 10: 136-163, http://doi.org/10.33111/nfmte.2021.136.
Google Scholar
LUKIANENKO D.H., MATVIYCHUK A.V., LUKIANENKO L.I., DVORNYK I.V., 2023, University competitiveness in the knowledge economy: a Kohonen map approach, CEUR Workshop Proceedings, 3465: 236-250, https://ceur-ws.org/Vol-3465/paper23.pdf.
Google Scholar
MHLANDA D., 2023, Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review, Energies, 16(2): 745, https://doi.org/10.3390/en16020745.
Google Scholar
NYAMESHCHUK G.V., 2021, Institutional and regulatory system of intellectualization of the global economy, Kyiv, Ukraine
Google Scholar
OXFORD INSIGHTS, 2023, Government AI Readiness Index 2023, https://oxfordinsights.com/ai-readiness/ai-readiness-index/ (22.05.2024).
Google Scholar
PORTULANS INSTITUTE, 2023, Network Readiness Index 2023, https://networkreadinessindex.org/.
Google Scholar
PYLYPIV I., 2024, The confidence of white-collar workers is melting before our eyes. Why did artificial intelligence become the central topic of Davos?, https://www.epravda.com.ua/publications/2024/01/22/709013/ (22.05.2024).
Google Scholar
SCHEVCHENKO et al., 2023, Strategy for the development of artificial intelligence in Ukraine, IPSI, Ukraine.
Google Scholar
SIMAKHOVA A., 2022, Post-War Socialization of the Economy: Ukrainian and European Security, Challenges to na-tional defence in contemporary geopolitical situation, 2022(1), 71-75, https://doi.org/10.47459/cndcgs.2022.9.
Google Scholar
SKINNER C., 2018, Digital Human: The Fourth Revolution of Humanity Includes Everyone, Marshall Cavendish Interna-tional (Asia), Singapore.
Google Scholar
STANFORD UNIVERSITY, 2023, AI Index Report Measuring trends in AI, https://aiindex.stanford.edu/report/ (22.05.2024).
Google Scholar
UN, 2024, The 17 Goals, https://sdgs.un.org/goals (16.06.2024)
Google Scholar
UNDP, 2021, Global Knowledge Index 2021, https://www.undp.org/sites/g/files/zskgke326/files/migration/arabstates/GKI-Report-2021---CPs-3_Full_compressed.pdf (22.05.2024).
Google Scholar
WIPO, 2023, Global Innovation Index, https://wipo.int/global_innovation_index/en/ (22.05.2024).
Google Scholar
WORLD BANK, 2022, Individuals using the Internet, % of population, https://data.worldbank.org/indicator/IT.NET.USER.ZS (22.05.2024).
Google Scholar
WORLD BANK, 2023, Research and development expenditure % of GDP, https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS (22.05.2024).
Google Scholar
ZARIFHONARVAR A., 2023, Economics of ChatGPT: a labor market view on the occupational impact of artificial intel-ligence, Journal of Electronic Business & Digital Economics, https://dx.doi.org/10.2139/ssrn.435092.
Google Scholar
Authors
Dmytro LukianenkoKyiv National Economic University named after Vadym Hetman Ukraine
Authors
Anastasiia Simakhovaanastasiia.simakhova@npp.nau.edu.ua
National Aviation University Ukraine
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