1 KROK Business School, KROK University (Kyiv, Ukraine)
DOI: https://doi.org/10.29202/asl/17/3
Received: 2 April 2026 / Accepted: 29 May 2026 / Published: 30 June 2026
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Abstract
The study demonstrates that the existing framework of international space law establishes fundamental principles applicable to AI-enabled space activities but does not adequately address algorithmic autonomy, dynamic system behaviour, limited human intervention, opacity of decision-making processes, and the allocation of responsibility among multiple actors. The risks associated with space-based AI are classified into four interconnected levels: institutional and governance risks; systemic and mission-level risks; operational and assurance-related risks; and cyber, information, and data-oriented risks.
It is argued that legal requirements should be differentiated according to the autonomy of the AI system, the criticality of its functions, the probability and severity of potential harm, and the possibility of effective human oversight. The proposed model is characterised by its multilevel, mission-centric, proportionate, life-cycle-oriented, evidence-based, preventive, and adaptive nature. It also requires controlled autonomy, continuous monitoring, independent verification and validation, clear allocation of obligations and liability, integrated cybersecurity safeguards, and international regulatory interoperability.
Keywords: artificial intelligence; space activities; risk-based regulation; international space law; legal liability; human oversight; cybersecurity.
References
Benko, A. & Sik Lányi, C. (2009) History of Artificial Intelligence. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, Second Edition (pp. 1759-1762). IGI Global Scientific Publishing. https://doi.org/10.4018/978-160566-026-4.ch276
Bratu, I., & Freeland, S. (2026) Winner takes all? Legal implications of autonomous weapons systems and the militarization of outer space. Acta Astronautica, 238, 803–814. https://doi.org/10.1016/j.actaastro.2025.09.031
Chien, S., & Morris, R. (2014) Space applications of artificial intelligence. AI Magazine, 35(4), 3–6. https://doi.org/10.1609/aimag.v35i4.2551
Chowdhary, K. R. (2020) Fundamentals of artificial intelligence. Springer. https://doi.org/10.1007/978-81-322-3972-7
Convention on international liability for damage caused by space objects: United Nations (1972) United Nations Treaty Series, 961, 187. Available online: https://treaties.un.org/doc/Publication/UNTS/Volume%20961/volume-961-I-13810-English.pdf
Dhar, S., Baghel, N., Bhoi, S., Anand, A., Singh, A. V., and Mishra, S. (2025) Positioning of machine learning based cosmic intelligence in stellar spacecraft operations. In 2025 International Conference on Artificial Intelligence and Machine Vision (AIMV) (pp. 1–5). IEEE. https://doi.org/10.1109/AIMV66517.2025.11203530
Ertel, W. (2024) Introduction to artificial intelligence (N. T. Black, Trans.; 3rd ed.). Springer. https://doi.org/10.1007/978-3-658-43102-0
Hulsen, T. (2023) Explainable artificial intelligence (XAI): Concepts and challenges in healthcare. AI, 4(3), 652–666. https://doi.org/10.3390/ai4030034
Ieracitano, C., Mammone, N., Di Clemente, M., Mahmud, M., Furfaro, R., and Morabito, F. C. (Eds.). (2023) The use of artificial intelligence for space applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics (Vol. 1088). Springer. https://doi.org/10.1007/978-3-031-25755-1
Kalia, P., Calvani, H., Patterson, J., & Crumbly, T. (2025) Strategic artificial intelligence learning (SAIL) and applications – Mastering risk in space explorations. In 2025 Annual Reliability and Maintainability Symposium (RAMS) (pp. 662–667). IEEE. https://doi.org/10.1109/RAMS48127.2025.10935023
Khalil, Y. F. (2026) Failure modes and effects analysis of AI-enabled technologies for aeronautical and astronautical applications. Journal of Research in Engineering and Computer Sciences, 4 (3): 10–31. https://doi.org/10.63002/jrecs.403.1513
Koskina, A. (2026) Artificial Intelligence and International Space Law: Dual-Use Challenges. Journal of Digital Technologies and Law, 4(1), 98–124. https://doi.org/10.21202/jdtl.2026
Kumar, S., & Tomar, R. (2018) The role of artificial intelligence in space exploration. In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT): 499–503. IEEE. https://doi.org/10.1109/IC3IoT.2018.8668161
Madi, M., & Sokolova, O. (Eds.). (2024) Artificial intelligence for space: AI4SPACE: Trends, applications, and perspectives. CRC Press. https://doi.org/10.1201/9781003366386
McDaniel, G. (1994) IBM dictionary of computing (pp. 32-33, 586). New York: McGraw-Hill.
Mishra, N. (2022) The need for an International rules-based framework for Artificial Intelligence technologies and systems in space activities [Master’s thesis, McGill University]. McGill eScholarship. mcgill.ca. Available online: https://mcgill.scholaris.ca/server/api/core/bitstreams/0efc3a52-4c72-48b2-82f1-3fa99c344e45/content
Mitchell, M. (1996) An introduction to genetic algorithms: 35-81. Cambridge, MA: MIT Press.
Nagy, Z. (2018) Artificial intelligence and machine learning fundamentals: Develop real-world applications powered by the latest AI advances. Packt Publishing. 330 p.
National Aeronautics and Space Administration, Office of Inspector General. (2023) NASA’s management of its artificial intelligence capabilities (Report No. IG-23-012). Available online: https://oig.nasa.gov/wp-content/uploads/2023/12/ig-23-012.pdf
Noelle, D. C., & Yoshimi, J. (2022) Artificial intelligence and computational theories of mind. In B. D. Young & C. D. Jennings (Eds.), Mind, cognition, and neuroscience: A philosophical introduction: 127–148. Routledge. https://doi.org/10.4324/9781003241898-11
Ojo, O. L., Afolalu, A. S., Ajiboye, Y., et al. (2024) Artificial intelligence in space exploration: Improving data analysis and decision-making for planetary missions. In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON): 1–4. IEEE. https://doi.org/10.1109/NIGERCON62786.2024.10927127
Omar, A. A., Farag, M. M., and Alhamad, R. A. (2021) Artificial intelligence: New paradigm in deep space exploration. In 2021 14th International Conference on Developments in eSystems Engineering (DeSE): 438–442. IEEE. https://doi.org/10.1109/DeSE54285.2021.9719425
Pagallo, U. (2024) The new laws of outer space: Ethics, legislation, and governance in the age of artificial intelligence. Hart Publishing.
Ramuš Cvetkovic, I., & Drobnjak, M. (2023) As above so below: The use of international space law as an inspiration for terrestrial AI regulation to maximize harm prevention. In A. Završnik & K. Simoncic (Eds.), Artificial intelligence, social harms and human rights: 207–238. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-19149-7_9
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2014/90, (EU) 2019/543, (EU) 2020/876, (EU) 2021/690 and (EU) 2021/787 and Regulation (EU) 2019/1020 (Artificial Intelligence Act) (2024) European Union. Available online: http://data.europa.eu/eli/reg/2024/1689/oj
Rothman, D., Guet, N., and Rothman, J. (2018) Artificial intelligence by example: Develop machine intelligence from scratch using real artificial intelligence use cases. Packt Publishing Ltd. 490 p.
Russel, S., & Norvig, P. (1995) Artificial intelligence: A modern approach (p. 69). Panem Prentice Hall.
Russo, A, Gianluca L. (2022) Using Artificial Intelligence for Space Challenges: A Survey.” Applied Sciences, vol. 12, no. 10, p. 5106. https://doi.org/10.3390/app12105106
Schreiber, G. (1999) Knowledge engineering and management. The Commonkads methodology (pp. 13-23). Cambridge, MA: MIT Press.
Shirai, Y., & Tsujii, J. (1982) Artificial intelligence. Tokyo: Iwanami Shoten.
Singer, A. (2024) Artificial intelligence in space: Overview of the European Space Agency and its role in the AI environment. Ljubljana Law Review, 84(1): 255–278. https://doi.org/10.51940/2024.1.255-278
Slingerland, P., Perry, L., Kaufman, J., et al. (2022) Adapting a trusted AI framework to space mission autonomy. In 2022 IEEE Aerospace Conference (AERO): 1–20. IEEE. https://doi.org/10.1109/AERO53065.2022.9843376
Soroka, L., Danylenko A., and Sokiran M. (2022) Legal Issues and Risks of the Artificial Intelligence Use in Space Activity. Philosophy and Cosmology, Volume 28: 118-135. https://doi.org/10.29202/phil-cosm/28/10
Soroka, L., & Kurkova K. (2019) Artificial Intelligence and Space Technologies: Legal, Ethical and Technological Issues. Advanced Space Law, Volume 3: 131-139. https://doi.org/10.29202/asl/2019/3/11
Space missions out of this world with AI. (2023) Nature Machine Intelligence, 5, 183. https://doi.org/10.1038/s42256-023-00643-3
Treaty on principles governing the activities of states in the exploration and use of outer space, including the moon and other celestial bodies (1967) United Nations Office for Outer Space Affairs. Available online: https://www.unoosa.org/oosa/en/ourwork/spacelaw/treaties/outerspacetreaty.html
Yettapu, S. D. R. (2023) A unified artificial intelligence governance and reliability engineering framework for secure and autonomous software-intensive and cyber-physical systems. Journal of Frontiers in Multidisciplinary Research, 4 (1): 605–608. https://doi.org/10.54660/.JFMR.2023.4.1.605-608
