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PRINCIPLES OF LIABILITY FOR HARM CAUSED BY ARTIFICIAL INTELLIGENCE: THE CASE OF CHINA AND RUSSIA

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PDF: Author(s): Yupeng S.,
Number of journal: 2(75) Date: June 2026
Annotation: This article, by comparing the conditions for establishing tort liability in China and Russia, analyzes the similarities and differences in the application of tort liability principles between the two countries. It focuses on the applicability of product liability, liability for ultra-hazardous activities, and general tort liability in regulating tort risks arising from artificial intelligence (AI). AI is categorized into two types: physically interactive AI and information-interactive AI. The article respectively explores the civil liability principles applicable to regulating the tort risks that may arise from the application of these two types of AI technologies. The article argues that absolute no-fault liability may be applied to physically interactive AI with a high degree of danger, which helps protect the civil rights and interests of legal subjects. However, applying no-fault liability to physically interactive AI without a high degree of danger would hinder technological innovation. Regarding information-interactive AI, taking generative AI as an example, this article identifies the legal characteristics of the generative AI service provider as a special subject of liability. It points out that generative AI service providers offer generative services, making no-fault liability inappropriate. Instead, fault-based liability should apply, and legal responsibility should only be borne when there is fault and statutory conditions are met.
Keywords:

artificial intelligence, tort, source of increased danger, generative artificial intelligence, fault-based liability, China, civil liability, product liability, no-fault liability, provision of services

For citation:

Yupeng S. Principles of liability for harm caused by artificial intelligence: the case of China and Russia. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2026;2(75):268—272. DOI: 10.25683/VOLBI.2026.75.1596.