Sep 2026· Scientia fructuosa· Vol 168, pp. 32-51· 0 citations
TL;DR
Ukraine can actively use European frameworks to shape its domestic AI agenda to span a complete governance cycle: framing policy goals, applying specific regulatory mechanisms, and running regular evaluations to make local technology governance more coordinated and efficient.
Abstract
EU policy in the field of artificial intelligence (AI) is becoming an important instrument for industrial modernization, enhancing competitiveness, and ensuring technological sovereignty. We base our work on the idea that EU public policies directly drive technology adoption among manufacturing firms. To test this, we combine normative-doctrinal, comparative, and economic-statistical methods. This approach makes it easier to follow changes in policy decisions over time. It also helps us see how different industrial sectors actually adopt AI tools. It has been established that EU policy in the field of AI during the period 2018–2025 evolved through stages ranging from strategic positioning to institutional and infrastructural consolidation, as well as industrialization and large-scale deployment of technologies. The share of enterprises using at least one AI technology increased from 6.93 % in 2021 to 17.27 % in 2025. The highest growth was observed in the pharmaceutical industry, the production of computer products, the chemical and metallurgical industries, and the manufacture of coke and refined petroleum products. These findings suggest that Ukraine can actively use European frameworks to shape its domestic AI agenda. To succeed, this strategy must span a complete governance cycle: framing policy goals, applying specific regulatory mechanisms, and running regular evaluations. Building this comprehensive structure helps make local technology governance more coordinated and efficient.
The study demonstrates that the global diffusion of AI is accompanied by a persistent gap between widespread technology use and its actual scaling into measurable business results: although the vast majority of organizations report regular AI use, only a small share have reached full enterprise-wide scaling, and an eve...
: With the development of economy and society, Artificial intelligence (AI) technology has become a global trend from technological breakthrough to industrial application. The research topic is economic growth driven by artificial intelligence technology. This study systematically explains the practical ways of AI-driv...
Min-Bo Zhu· Proceedings of the 1st Inter...· 0 citations
The research aims to uncover the depth of AI integration across different sectors and assess its potential impact on the country's economic development prospects, as well as identify the current baseline of AI application.
Շողեր Պյոտրի Պողոսյան· Սոցիալ-տնտեսական զարգացման ա...· 0 citations
This study assesses whether India needs a specific AI law by comparing the advantages of the EU's comprehensive legislative approach with India's current legal framework and offering suggestions for creating a fair, innovative and rights-protective AI regulatory framework that is in line with India's constitutional ide...
Nimisha Mishra, T. Rajesh· International Journal of Law...· 0 citations
The study proposes a Human-Centric AI Governance Framework and recommends transparent, ethical, inclusive, and sustainable AI governance systems aligned with Sustainable Development Goals (SDGs).
David Mhlanga· Sustainability· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.