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The European map of artificial intelligence development policies: a comparative analysis.
- Source :
-
International Journal of Contemporary Management . Sep2023, Vol. 59 Issue 3, p78-87. 10p. - Publication Year :
- 2023
-
Abstract
- The aim of this paper is to discuss the management aspect of artificial intelligence development policy by the national regulators of the 27 European Union (EU) member states. The solutions formulated by three of them—Germany, France (as a pioneers), and Poland—are analyzed in depth. The obtained results allow us to conclude that out of 27 EU countries, only one has not yet prepared its strategic project on artificial intelligence (AI) development, while among the existing policies one can find significant differences in the approach to the matter of strategic management. The research methods used are content analysis and comparative analysis of selected source documents. In the course of the deliberations presented, key legal acts concerning the areas of AI and modern technologies are cited. The presented work formulates a starting point for further research and directions of changes in the management of AI development policy. The attention of subsequent researchers should focus on the possibility of a detailed analysis of other documents published by EU member states, a comparison of policies of other countries across the world, and even an attempt to examine the global dimension of AI strategies. The article addresses the problem of creating law only following, rather than preceding, the emergence of technological changes, the lack of systemic regulation of AI tools and mechanisms, as well as the absence of integrated forms of international cooperation with a strategic and long-term dimension. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ARTIFICIAL intelligence
*STRATEGIC planning
Subjects
Details
- Language :
- English
- ISSN :
- 24498920
- Volume :
- 59
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- International Journal of Contemporary Management
- Publication Type :
- Academic Journal
- Accession number :
- 169826391
- Full Text :
- https://doi.org/10.2478/ijcm-2023-0002