TRENDS IN THE DEVELOPMENT OF TORT LAW AND THE MODEL LEGISLATION OF THE CIS ON ARTIFICIAL INTELLIGENCE

Author(s): Bogustov A.A.

Rubric: Relevant issues of private law

DOI: 0.21777/2587-9472-2026-1-31-36

Release: 2026-1 (49)

Pages: 31-36

Keywords: artificial intelligence, tort law, model legislation, civil liability, source of increased danger, joint liability, com- pulsory insurance, consumer rights protection

Annotation: The article is devoted to an analysis of trends in the development of tort law in the context of regulation of rela- tionships involving the use of artificial intelligence (AI), based on the model legislation of the CIS. The central issue of the study is the question of whether it is necessary to create fundamentally new legal mechanisms of liability for harm caused by AI, or whether it is possible to adapt existing civil law institutions. The methodologi- cal basis of the work is a comparative legal and regulatory analysis of the provisions of the Recommendations on the Regulatory Regulation of the use of artificial intelligence, including ethical standards for research and development and the CIS Model Law "On Artificial Intelligence Technologies". As a result of the study, key trends that underpin model regulation have been identified and analyzed: the expansion of strict (objective) liability by equating high-risk AI systems with sources of increased danger; the channeling of joint liability toward specific entities (owner, developer, operator); the socialization of risks through mandatory civil liability insurance; and the strengthening of consumer protection in the digital environment. The author’s main conclusion is that legal regulation of tort liability in the field of AI demonstrates continuity and an evolutionary nature, refuting the position that it is necessary to create an entirely new, “non-anthropocentric” system of liability.

Bibliography: Bogustov A.A. TRENDS IN THE DEVELOPMENT OF TORT LAW AND THE MODEL LEGISLATION OF THE CIS ON ARTIFICIAL INTELLIGENCE // Journal of Legal Sciences. – 2026. – № 1 (49). – С. 31-36. doi: 0.21777/2587-9472-2026-1-31-36