| Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 10 | |
| Section | Mathematical Modelling of Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202453103010 | |
| Published online | 03 June 2024 | |
International experience of state initiatives in the development of artificial intelligence as a dual-use technology
1 Expert and Analytical Center, 33, Talalikhina str., Moscow, 109316, Russia
2 All-Russia scientific and research institute «Center» Federal state unitary enterprise, 11, p. 1, Sadovaya-Kudrinskaya str., Moscow, 123242, Russia
3 Marine Hydrophysical Institute, Russian Academy of Sciences, 2, Каpitanskaya str., Sevastopol, 299011, Russia
4 Reshetnev Siberian State University of Science and Technology, 31, Krasnoiarskii Rabochii Prospekt, Krasnoyarsk, 660037, Russia
* Corresponding author: kartsan2003@mail.ru
The article systematizes theoretical and methodological provisions on the international experience of the formation of machine learning in interests of economic development and strengthening of defense capabilities on the example of the USA and China. On the basis of official documents and statistical data the state strategies, the strategy of machine learning formation for dual-use technology and the methodology of state regulation of machine learning in the countries under consideration are analysed. Increasing complexity of modern digital technologies is compensated by their growing interoperability - their readiness to integrate into various heterogeneous spheres of state development without the need for costly adaptation measures.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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