Artificial Intelligence in Nuclear Energy: Legal Challenges and International Cooperation in the Search of Approaches to Regulation
- Autores: Klebanov L.R.1, Lizikova M.S.2
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Afiliações:
- RUDN University
- Institute of State and Law of the Russian Academy of Sciences
- Edição: Volume 29, Nº 2 (2025)
- Páginas: 494-508
- Seção: LAW AND DIGITAL TECHNOLOGIES
- URL: https://journals.rcsi.science/2313-2337/article/view/327906
- DOI: https://doi.org/10.22363/2313-2337-2025-29-2-494-508
- EDN: https://elibrary.ru/ZBRJGA
- ID: 327906
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Resumo
The application of artificial intelligence (AI) holds the potential for revolutionary advancements in civil nuclear energy. However, this necessitates establishing a framework to ensure the safe and reliable use of AI technologies within the nuclear sector. Law plays a crucial role in adapting existing regulation and developing innovative approaches, concepts and legal structures. This study aims to identify potential threats from the use of AI in nuclear energy and the associated legal challenges, including those related to the nuclear non-proliferation regime and the IAEA safeguards system. It also examines the liability regime for nuclear damage caused by AI at nuclear power plants, insurance considerations, and the activities of the IAEA and other international organizations in exploring AI’s potential to accelerate technological development in nuclear energy and to establish a suitable international regulatory environment. The study further characterizes the current state of international cooperation in this area. The research methodology incorporates formal-legal, comparative-legal, and historical methods, as well as forecasting techniques. The study concludes that the development of principles and standards for the safe use of AI in nuclear energy will initially occur through cooperation among individual states, where the formation of a political space is already underway. Therefore, it is crucial for Russia to leverage this experience and create opportunities for collective cooperation (for example, within BRICS and BRICS+) to regulate AI in the nuclear energy sector.
Sobre autores
Lev Klebanov
RUDN University
Autor responsável pela correspondência
Email: solomon70@bk.ru
ORCID ID: 0000-0002-1452-9568
Doctor of Legal Sciences, Professor, Department of Criminal Law, Criminal Procedure and Criminalistics, Law Institute
6 Miklukho-Maklaya St, Moscow, 117198, Russian FederationMarina Lizikova
Institute of State and Law of the Russian Academy of Sciences
Email: lizikova_m@mail.ru
ORCID ID: 0000-0002-5538-4385
Código SPIN: 7033-5240
Candidate of Legal Sciences, Senior Research Fellow, Department of Civil and Business Law
10, Znamenka str., Moscow, 119019, Russian FederationBibliografia
- Anastassov, A. (2021) Artificial intelligence and its possible use in international nuclear security law. Humanities and Social Sciences. 8 (1), 92-103.
- Atabekov, A.R. (2024) Conceptual approaches and practice of legal regulation of artificial intelligence in the public sphere: Comparative legal research. Doctor of Legal of Sciences dissertaion. Moscow, RUDN. (in Russian).
- Cha, S. (2024) Towards an international regulatory framework for AI safety: Lessons from the IAEA’s nuclear safety regulations. Humanit Soc Sci Commun. 11, 506. https://www.doi.org/10.1057/s41599-024-03017-1
- Erman, E. & Furendal, M. (2024) Artificial Intelligence and the Political Legitimacy of Global Governance. Political Studies, 72 (2), 421-441.
- Fitzpatrick, M. (2019) Artificial intelligence and nuclear command and control. Survival. 61(3), 81-92. https://www.doi.org/10.1080/00396338.2019.1614782
- Franks, E., Lee, B. & Xu, H. (2024) China’s New AI Regulations. Global Privacy Law Review. 5 (1), 43-49. https://www.doi.org/10.54648/GPLR2024007
- Geist, E. & Lohn, A.J. (2018) How might artificial intelligence affect the risk of nuclear war? Santa Monica, RAND Corporation. https://www.doi.org/10.7249/PE296
- Huang, K., Joshi, A., Dun, S. & Hamilton, N. (2024). AI Regulations. In: Huang, K., Wang, Y., Goertzel, B., Li, Y., Wright, S. & Ponnapalli, J. (eds) Generative AI Security. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-031-54252-7_3
- Johnson, J. (2023) ‘AI-security dilemma: Insecurity, mistrust, and misperception under the nuclear shadow’, AI and the Bomb: Nuclear Strategy and Risk in the Digital Age. Oxford Academic. https://doi.org/10.1093/oso/9780192858184.003.0005
- Karim, R. & Muhammad-Sukki, F. (2023) Artificial Intelligence (AI) in the Nuclear Power Plants: Who Is Liable When AI Fails to Perform. In: Taghizadeh-Hesary F., Zhang D. eds. The Handbook of Energy Policy. Springer, Singapore. https://doi.org/10.1007/978-981-19-6778-8_27
- Kologermanskaya, E.M. (2024) Legal regulation of artificial intelligence and robotics technologies in the energy sector in the Russian Federation: Problems and prospects. Pravovoi energeticheskii forum. (2), 29-38. https://doi.org/10.61525/S231243500031369-3 (in Russian).
- Lambrini, S. & Kougias I. (2019) Legal issues within ambient intelligence environments. In: 10th International Conference on Information, Intelligence, Systems and Applications, IISA. https://doi.org/ 10.1109/IISA.2019.8900748
- Lizikova, M.S. (2020) Artificial intelligence in nuclear energy: Application and regulation. In: Mogilevskii, S.D., Leskova, Yu.G., Karelina, S.A., Ruzanova, V.D., Shmalii, O.V., Zolotova, O.A. & Sushkova, O.V. (eds.) Law and business: Legal space for business development in Russia. Moscow, Prospect Publ., 131-139. (in Russian).
- Lizikova, M.S. (2023). International nuclear law: Innovative development of the legal environment. Proceedings of the Institute of State and Law of the RAS. 18 (5), 80-97. https://doi.org/10.35427/2073-4522-2023-18-5-lizikova (in Russian).
- Roberts, H., Hine, E., Taddeo, M. & Floridi, L. (2024) Global AI governance: Barriers and pathways forward. International Affairs. 100 (3), 1275-1286. https://doi.org/10.1093/ia/iiae073
- Siserman-Gray, C., Barr, J., Burniske, J., Eftekhari, P., Marek, R. & Means, A. (2023) Regulatory Challenges Related to the Use of Artificial Intelligence for IAEA Safeguards Verification. Available at: https://resources.inmm.org/sites/default/files/2023-07/ finalpaper_379_0512065638.pdf [Accessed 15th October 2024].
- Suman, S. (2021) Artificial intelligence in nuclear industry: Chimera or solution? Journal of Cleaner Production. 278, 124022. https://doi.org/10.1016/j.jclepro.2020.124022
- Trout, C. (2024) Liability and Insurance for Catastrophic Losses: The Nuclear Power Precedent and Lessons for AI. https://doi.org/10.48550/arXiv.2409.06673
- Yavuz, C. & Şentürk Lüle, S. (2022) The Application of Artificial Intelligence to Nuclear Power Plant Safety. In: Mercier-Laurent, E., Kayakutlu, G. (eds) Artificial Intelligence for Knowledge Management, Energy, and Sustainability. IFIP Advances in Information and Communication Technology. Switzerland, Springer Publ., 117-127. https://doi.org/10.1007/978-3-030-96592-1_9
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