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Effect of artificial intelligence on the economy

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Warianty tytułu
Języki publikacji
EN
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EN
Purpose: The purpose of this article is to investigate the diverse effects of artificial intelligence (AI) on the economy, with the aim of offering a comprehension of its consequences on different industries and socioeconomic factors. This research endeavours to enhance understanding of the transformative impacts of AI on global economies by investigating the correlation between the adoption of AI and economic dynamics, thereby providing valuable insights. Design/methodology/approach: The research paper utilizes an interdisciplinary methodology that integrates approaches to examine the diverse impacts of artificial intelligence on the economy. Findings: The article presented a nuanced analysis of the multifaceted consequences of adopting AI technology in various aspects including macroeconomics, industry-specific implications, labour market dynamics, socioeconomic factors, and policy considerations. The research outcomes emphasized the significance of a comprehensive and equitable approach to the integration of AI, considering ethical considerations, policy frameworks, and targeted initiatives aimed at ensuring the fair distribution of the advantages and opportunities created by AI. Research limitations/implications: The relationship between the adoption of AI and macroeconomic factors may require a more complex analytical framework. Investigating the possible harmonization and joint efforts between AI and human workers is an avenue that should be explored in future research. To achieve a more thorough comprehension of the multifaceted effects of AI on the economy, upcoming studies should aim to overcome these limitations. Originality/value: The article offers a distinctive perspective by employing a comprehensive and interdisciplinary approach, as well as by considering the broad socioeconomic implications. Its significance lies in providing guidance to policymakers, businesses, researchers, educators, and the wider public, facilitating a more profound comprehension of the impact of AI on economies, and ultimately promoting responsible and fair integration of AI technologies.
Rocznik
Tom
Strony
319--331
Opis fizyczny
Bibliogr. 56 poz.
Twórcy
  • Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology
autor
  • Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology
  • JSofteris Company, Sosnowiec, Poland
Bibliografia
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  • 27. Kwilinski, A., Tkachenko, V., Kuzior, A. (2019). Transparent cognitive technologies to ensure sustainable society development. Journal of Security and Sustainability Issues, 9(2), 561-570. https://doi.org/10.9770/jssi.2019.9.2(15).
  • 28. Leslie, D. (2019). Understanding artificial intelligence ethics and safety A guide for the responsible design and implementation of AI systems in the public sector Dr David Leslie Public Policy Programme. Understanding Artificial Intelligence Ethics and Safety. https://doi.org/10.5281/zenodo.3240529.
  • 29. Li, L. (2022). Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and beyond. Information Systems Frontiers, 24(3). Springer, https://doi.org/10.1007/s10796- 022-10308-y.
  • 30. Lima, Y., Barbosa, C.E., dos Santos, H.S., de Souza, J.M. (2021). Understanding Technological Unemployment: A Review of Causes, Consequences, and Solutions. Societies, 11(2), 50. https://doi.org/10.3390/soc11020050.
  • 31. Littman, M.L., Ajunwa, I., Berger, G., Boutilier, C., Currie, M., Doshi-Velez, F., ... Walsh, T. (2021). Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. Stanford, CA: Stanford University. Retrieved from: http://ai100.stanford.edu/2021-report.
  • 32. Manjarrés, Á., Fernández-Aller, C., López-Sánchez, M., Rodríguez-Aguilar, J.A., Castaner, M.S. (2021). Artificial Intelligence for a Fair, Just, and Equitable World. IEEE Technology and Society Magazine, 40(1), 19-24. https://doi.org/10.1109/MTS.2021.3056292.
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  • 36. Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., Pietrantoni, L. (2023). The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 39-68. https://doi.org/10.28945/5078.
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  • 42. QuantumBlack By McKinsey (2022). The state of AI in 2022-and a half decade in review. Retrieved from: https://www.mckinsey.com/~/media/mckinsey/business%20functions/ quantumblack/our%20insights/the%20state%20of%20ai%20in%202022%20and%20a%2 0half%20decade%20in%20review/the-state-of-ai-in-2022-and-a-half-decade-in-review.pdf.
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Typ dokumentu
Bibliografia
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