AI Integration and Economic Divides: Analyzing Global AI Strategies
Author:
Gualandri Fabio1ORCID, Kuzior Aleksandra23ORCID
Affiliation:
1. eQ-3 AG, 26789 Leer , Germany 2. Department of Applied Social Sciences, Faculty of Organization and Management , Silesian University of Technology , Poland 3. Oleg Balatskyi Department of Management , Sumy State University , Ukraine
Abstract
Abstract
This study investigates the impact of socio-economic factors on national AI strategies in India, Bangladesh, Germany, UAE, Egypt, and the USA through quantitative content analysis. The analysis explores the correlation between GDP per capita, the share of manufacturing, and the frequency of risk-related terms in AI strategy documents. It is found that wealthier nations emphasize AI risks more, correlating with deeper technological integration into their societal structures. Conversely, the emphasis on AI risks shows a weak correlation with the share of manufacturing, indicating broader AI impacts in service-oriented sectors. Lower-middle-income countries appear more optimistic, focusing on AI's economic benefits. The study underscores the need for balanced AI strategies that promote innovation while ensuring worker well-being, advocating for adaptive governance frameworks that enhance workplace safety and efficiency.
Publisher
Walter de Gruyter GmbH
Reference29 articles.
1. Abbasi, O.U.R., Bukhari, S.B.A., Iqbal, S., Abbasi, S.W., ur Rehman, A., AboRas, K.M., Alshareef, M.J., Ghadi, Y.Y., 2023. Energy Management Strategy Based on Renewables and Battery Energy Storage System with IoT Enabled Energy Monitoring. Electrical Engineering. DOI: 10.1007/s00202-023-02133-6. 2. Artificial Intelligence Strategy: German Federal Government, 2018. https://aiwatch.ec.europa.eu/countries/germany/germany-ai-strategy-report_en. 3. Bareis, J., Katzenbach, C., 2022. Talking AI into Being: The Narratives and Imaginaries of National AI Strategies and Their Performative Politics. Science, Technology, & Human Values, 47, 855–881. DOI: 439211030007. 4. Bigham, G.F., Adamtey, S., Onsarigo, L., Jha, N., 2019. Artificial Intelligence for Construction Safety: Mitigation of the Risk of Fall. In Intelligent Systems and Applications, Arai, K., Kapoor, S., Bhatia, R., (Eds.), Springer International Publishing, Cham, 1024–1037. DOI: 10.1007/978-3-030-01057-7_76. 5. Cebulla, A., Szpak, Z., Howell, C., Knight, G., Hussain, S., 2023. Applying Ethics to AI in the Workplace: The Design of a Scorecard for Australian Workplace Health and Safety. AI & SOCIETY, 38, 919–935. DOI: 10.1007/s00146-022-01460-9.
|
|