DIRECTIONS OF ARTIFICIAL INTELLIGENCE IMPLEMENTATION AT ECONOMY OF UKRAINE AND POLAND

Keywords: artificial intelligence, diffusion, infrastructure, model, readiness of society, SWOT analysis, technology

Abstract

The purpose of research is to form directions of artificial intelligence technologies’ implementation at economy of Ukraine and Poland. To define and analyze literature streams about artificial intelligence technologies’ implementation in economy it is used methods of comparison, analysis, synthesis. The SWOT analysis method is employed to identify the strengths, weaknesses, opportunities, and threats associated with the implementation of artificial intelligence technologies in Poland and Ukraine. Brainstorming and modeling methods are applied to develop strategic directions for the implementation of AI technologies in both countries. The SWOT analysis of artificial intelligence implementation in Poland and Ukraine reveals distinct characteristics. Poland's artificial intelligence environment is driven by legislative regulation and substantial startup funding, while Ukraine's environment relies on the performance of foreign companies' tasks and university project activities. The study establishes that the background of artificial intelligence development in a country is a result of government agenda and startup activities. The research contributes to the identification and understanding of potential pathways for the utilization of artificial intelligence in the economies of Poland and Ukraine for national development.

References

A new industrial strategy for Europe (2020) European Commission.

AI Watch Index 2021 (2022) JRC Technical Reports. Luxembourg: Publications Office of the European Union.

Alhosani K., Alhashmi, S. (2024) Opportunities, challenges, and benefits of AI innovation in government services: a review. Discover Artificial Intelligence, vol. 4.

Artificial Intelligence for Europe. (2018).

Haefnera N. et al. (2021) Artificial intelligence and innovation management: A review, framework, and research agenda. Technological Forecasting & Social Chang, no. 162.

Artificial Intelligence Index Report 2022. (2023).

Alvarez M.T. et al. (2021) Technological & innovation challenges for industry: Science for policy insights. JRC Science for Policy Report, Publications Office of the European Union, Luxembourg.

Bach T. M. et al. (2019) Relationship between Innovation and Performance in Private Companies: Systematic Literature Review. SAGE Open.

Bhatnagar S. et al. (2018) Mapping Intelligence: Requirements and Possibilities. Philosophy and Theory of Artificial Intelligence. Berlin: Springer, pp. 117–135.

Butt J. (2024) A Comparative Study About The Use Of Artificial Intelligence (AI) In Public Administration of Nordic states with other European Economic Sectors. EuroEconomica, no. 43(1), pp. 40–66. Available at: https://dj.univ-danubius.ro/index.php/EE/article/view/2740

Concept of the AI development in Ukraine. Available at https://zakon.rada.gov.ua/laws/show/1556-2020-%D1%80#Text

Coordinated Plan on Artificial Intelligence. (2018).

Culot et al. (2020) Behind the definition of Industry 4.0: Analysis and open questions.

Yogesh K. Dwivedi et al. (2021) Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, Volume 57.

EU AI Act. (2024).

Frank et al. (2019) Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics.

G20. AI Guidelines. (2021).

Galindo L. et al. (2021) An overview of national AI strategies and policies. Going Digital Toolkit Note, no. 14. Available at: https://goingdigital.oecd.org/data/notes/No14_ToolkitNote_AIStrategies.pdf

Grillitsch M. et al. (2019) Innovation policy for systemwide transformation: The case of strategic innovation programmes (SIPs) in Sweden. Research Policy, no. 48, pp. 1048–1061.

Holmström J. (2022) From AI to digital transformation: The AI readiness framework. Business Horizons, vol. 65, is. 3, pp. 329–339.

Kondratenko Y. et al. (2023) Analysis of the Priorities and Perspectives in Artificial Intelligence Implementation. 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), Athens, Greece, pp. 1–8.

Królikowski T. et al. (2021) Dynamics of changes in Poland in the light of the Industry 4.0. Procedia Computer Science, no. 192, pp. 4128–4137.

Lu Chia-Hui (2021) The impact of artificial intelligence on economic growth and welfare. Journal of Macroeconomics, Elsevier, no. 69(C).

Lutsiv R. et al. (2023) Analysis of smart economy development mechanisms and strategies: identification of trends and future forecast. Futurity Economics&Law, no. 3(2), pp. 114–132.

Map of the Polish AI (2019) Digital Poland Foundatio. Edition I, Warsaw, 72 p.

Makridis Christos A. et al. (2022) Artificial Intelligence as a Service, Economic Growth, and Well-Being. Journal of Service Research, vol. 25(4), pp. 505–520.

Nepelski D., Sobolewski M. (2020) Estimating investments in General Purpose Technologies. The case of AI Investments in Europe, Publications Office of the European Union, Luxembourg.

Noordt C., Misuraca G. (2022) Artificial intelligence for the public sector: results of landscaping the use of AI in government across the European Union, Government Information Quarterly, 39/3.

Poland (2020) Policy for the Development of Artificial Intelligence in Poland from 2020. Council of Ministers. Available at: https://monitorpolski.gov.pl/M2021000002301.pdf

Pro zatverdzhennya planu zahodiv z realIzatsiyi Kontseptsiyi rozvytku shtuchnogo Intelektu v Ukrayini na 2021-2024 rr., No. 438-р 12.05.2021. Available at https://zakon.rada.gov.ua/laws/show/438-2021-%D1%80#Text

Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence (2023). UNESCO. 27 p.

Sharma M. et al. (2022) Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy. Government Information Quarterly, 39/4.

Stanisławski R., Szymonik A. (2021) Impact of Selected Intelligent Systems in Logistics on the Creation of a Sustainable Market Position of Manufacturing Companies in Poland in the Context of Industry 4.0. Sustainability, no. 13(7).

Stirling R. (2024) Evaluating national AI readiness with the Government AI Readiness Index. Available at: https://www.unesco.org/en/articles/evaluating-national-ai-readiness-government-ai-readiness-index

Ulnicane I. (2022) Emerging technology for economic competitiveness or societal challenges? Framing purpose in Artificial Intelligence policy. GPPG.

Wang P. (2019) On Defining Artificial Intelligence. Journal of Artificial General Intelligence, no. 10(2), pp. 1–37.

Wang L. et al. (2021) Artificial Intelligence and Economic Growth: A Theoretical Framework. Scientific Annals of Economics and Business, no. 68 (4), pp. 421–443.

Wolniak R., Stecuła K. (2024) Artificial Intelligence in Smart Cities-Applications, Barriers, and Future Directions: A Review. Smart Cities, no. 7, pp. 1346–1389.

Article views: 30
PDF Downloads: 30
Published
2024-09-30
How to Cite
Tarasenko, S., Duranowski, W., Bilovol, A., & Dabrowski, Z. (2024). DIRECTIONS OF ARTIFICIAL INTELLIGENCE IMPLEMENTATION AT ECONOMY OF UKRAINE AND POLAND. Sustainable Development of Economy, (3(50), 172-179. https://doi.org/10.32782/2308-1988/2024-50-26