AI-based Autonomous Weapons and Individual Criminal Responsibility under the Rome Statute

Автор: Hassan F. M., Osman N. D.

Журнал: Journal of Digital Technologies and Law.

Статья в выпуске: 1(2), 2023 года.

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Objective: international law obligates states to prosecute those who have violated laws in armed conflicts, particularly when the international community now has International Criminal Court (ICC). That is why the aim of the paper is to discover the responsibility for the crimes made with the use of AI-based autonomous vehicles in accordance with the provisions of the Rome Statute of the ICC. Methods: doctrinal analysis allowed to research the positions of experts on the responsibility for the crimes made with the use of AI-based autonomous vehicles in accordance with the provisions of the Rome Statute of the ICC. Results: this paper argues that the ICC can only exercise jurisdiction over natural persons who allegedly have committed the crimes under its jurisdiction, as compared to autonomous weapons. This paper argues that the persons who facilitate the commission of the alleged crimes are highly likely to be criminally responsible for providing means for the alleged crimes to be committed by AI-based autonomous weapons under Article 25(3)(c) of the Rome Statute and concludes that the Rome Statute provides a solution even to AI-based autonomous weapons. Scientific novelty: this paper addresses to the highly relevant issues of the responsibility for the crimes made with the use of AI-based autonomous vehicles in accordance with the provisions of the Rome Statute of the ICC. Practical significance: the results achieved in the paper can be used in regulation design for AI-based autonomous weapons. It can also be used as a basis for the future research in the sphere of liability of AI-based autonomous weapons and AI in general.

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Armed conflict, Artificial intelligence, Autonomous weapons, Criminal liability, Digital technologies, International criminal court, law, robotics, Rome Statute, war

Короткий адрес: https://sciup.org/14127032

IDR: 14127032   |   DOI: 10.21202/jdtl.2023.19

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