Artificial intelligence policies of the states under sanctions

Authors

  • Radomir Bolgov St Petersburg State University, 7–9, Universitetskaya nab., St Petersburg, 199034, Russian Federation

DOI:

https://doi.org/10.21638/spbu06.2024.105

Abstract

The purpose of this study is to identify similar features and differences in the artificial intelligence (AI) policies of the states claiming global (Russia) and regional (Iran) influence. The context of this study is the sanctions of Western countries in relation to Russia and Iran. The study methodology is based on the principles of comparative analysis. We analyze legislation and strategic documents, as well as institutions and practices in the field of artificial intelligence development in these states. Identifying national AI policy patterns can be an important predictive tool. In order to conduct a comparative analysis of legislation, we developed a set of parameters for comparison: (1) AI development goals, (2) authorities responsible for the implementation of AI projects, (3) AI development priorities, (4) positions of countries in the global AI development rankings. The basis of the study is the analysis of AI development indices (Government AI Readiness 2021 by Oxford Insights, Nature Index 2020 Artificial Intelligence, and Global AI Index 2021 by Tortoise Media), official statistics, national legislation, and media publications.

Keywords:

artificial intelligence, Russia, Iran, sanctions, digital sovereignty, techno-nationalism

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References

Литература

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Filatova, O. and Bolgov, R. (2018), Strategic communication in the context of modern information confrontation: EU and NATO vs Russia and ISIS*, Proceedings of the 13th International Conference on Cyber Warfare and Security, ICCWS 2018, pp. 208–218.

* The organization is recognized as an extremist in Russian Federation.

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Bolgov, R., Chernov, I., Katsy, D. and Ivannikov, I. (2019), Battle in Twitter: Comparative Analysis of Online Political Discourse (cases of Macron, Trump, Putin, and Medvedev), Communications in Computer and Information Science, vol. 947, pp. 374–383. https://doi.org/10.1007/978-3-030-13283-5_28

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References

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Bolgov, R., Filatova, O. and Yag’ya, V. (2018), The United Nations and Russian initiatives on international information security, Proceedings of the 13th International Conference on Cyber Warfare and Security, ICCWS 2018, pp. 31–38.

Filatova, O. and Bolgov, R. (2018), Strategic communication in the context of modern information confrontation: EU and NATO vs Russia and ISIS*, Proceedings of the 13th International Conference on Cyber Warfare and Security, ICCWS 2018, pp. 208–218.

* The organization is recognized as an extremist in Russian Federation.

Russia is now the world’s most sanctioned country (2022), Castellum.AI, March 8. Available at: https://www.castellum.ai/insights/russia-is-now-the-worlds-most-sanctioned-country (accessed: 10.09.2023).

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Tkachenko, S., Zhiglinskaya Wyrsch, N. and Zheng, C. (2021), Technology platform competition between the United States and China: Decoupling and sanctions against Huawei, Vestnik of Saint Petersburg University. International Relations, vol. 14, iss. 4, pp. 378–392.

Nakayama, S. (2012), Techno-Nationalism versus Techno-Globalism, East Asian Science. Technology and Society: An International Journal, no. 6 (1), pp. 9–15.

Capri, A. (2020), Techno-nationalism: The US-China tech innovation race, Hinrich Foundation, August. Available at: https://cvdvn.files.wordpress.com/2020/08/hinrich-foundation-techno-nationalism-and-the-us-china-tech-innovation-race-alex-capri-august-2020.pdf (accessed: 10.09.2023).

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Radu, R. (2021), Steering the governance of artificial intelligence: National strategies in perspective, Policy and Society, vol. 40, iss. 2, pp. 178–193. https://doi.org/10.1080/14494035.2021.1929728

Reis, J., Espírito Santo, P. and Melão, N. (2021), Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review, Brazilian Journal of Operations & Production Management, vol. 18, no. 3, e20211114. https://doi.org/10.14488/BJOPM. 2021.010

Roche, C., Wall, P. J. and Lewis, D. (2022), Ethics and diversity in artificial intelligence policies, strategies and initiatives, AI Ethics. https://doi.org/10.1007/s43681-022-00218-9

Salas-Pilco, S. Z. (2021), Comparison of National Artificial Intelligence (AI): Strategic Policies and Priorities, in: Keskin, T. and Kiggins, R. D. (eds), Towards an International Political Economy of Artificial Intelligence, International Political Economy Series, Springer, pp. 195–217. https://doi.org/10.1007/978-3-030-74420-5_9

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Van Berkel, N., Papachristos, E., Giachanou, A., Hosio, S. and Skov, M. B. (2020), A Systematic Assessment of National Artificial Intelligence Policies: Perspectives from the Nordics and Beyond in: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society (NordiCHI ‘20). ACM, New York, USA. Article 10, 1–12. https://doi.org/10.1145/3419249.3420106

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Published

2024-06-27

How to Cite

Bolgov, R. (2024). Artificial intelligence policies of the states under sanctions. Vestnik of Saint Petersburg University. International Relations, 17(1), 77–95. https://doi.org/10.21638/spbu06.2024.105

Issue

Section

NEW TECHNOLOGIES AND AI IN GLOBAL POLITICS