Defining ‘robotics’ for legal responsibility: A conceptual framework
- Authors: Ivanova L.V.1, Arzhilovskiy D.E.1, Kalashnikov N.A.1
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Affiliations:
- University of Tyumen
- Issue: Vol 29, No 2 (2025)
- Pages: 509-523
- Section: LAW AND DIGITAL TECHNOLOGIES
- URL: https://journals.rcsi.science/2313-2337/article/view/327907
- DOI: https://doi.org/10.22363/2313-2337-2025-29-2-509-523
- EDN: https://elibrary.ru/ZFUWHU
- ID: 327907
Cite item
Abstract
Robotics offers significant potential, yet the absence of a universally accepted definition of the field and its components hinders the development of a clear conceptual model for legal liability. This study examines and analyzes the concepts, features, and key characteristics of “robotics” and “robot”, correlating them with the concept of “artificial intelligence”. It identifies problematic aspects of legal liability in the field of robotics to facilitate the development of a conceptual model of legal responsibility in this area. The research is based on the analysis of legal acts and scholarly literature. Methodology employed include system analysis, comparative legal analysis, formal legal analysis, and legal modeling, along with general scientific methods such as analysis, synthesis, induction, and deduction. The study compares various approaches to defining key concepts in robotics, particularly correlating “robot” and “artificial intelligence”. It highlights problematic aspects within the content of legal liability in robotics. The study argues that legal liability should differentiate between situations where harm is caused by an automated robot or robotic device and situations where harm occurs when a person collaborates with such a device. It concludes that legal responsibility in robotics should be differentiated based on the degree of autonomy (full or partial) and whether the robot performs the activity independently or in conjunction with a person. Given that artificial intelligence is currently created and managed by developers, it is essential to implement clear regulatory frameworks that define permissible and impermissible actions for developers and all stakeholders involved in the AI development process at every stage of its lifecycle.
About the authors
Liliya V. Ivanova
University of Tyumen
Author for correspondence.
Email: l.v.ivanova@utmn.ru
ORCID iD: 0000-0001-5255-3182
SPIN-code: 5920-9782
Candidate of Legal Sciences, Associate professor of the Department of Criminal Law Disciplines, Institute of State and Law
625003, Российская Федерация, г. Тюмень, ул. Володарского, д. 6Dmitriy E. Arzhilovskiy
University of Tyumen
Email: d.e.arzhilovskij@utmn.ru
ORCID iD: 0009-0004-2740-4862
SPIN-code: 8010-1528
senior lecturer of the Department of Theoretical and Public Law Disciplines, Institute of State and Law
625003, Российская Федерация, г. Тюмень, ул. Володарского, д. 6Nikita A. Kalashnikov
University of Tyumen
Email: n.a.kalashnikov@utmn.ru
ORCID iD: 0009-0006-6657-7939
SPIN-code: 9618-9446
laboratory research assistant of the Laboratory “4 Bio”, Institute of State and Law
625003, Российская Федерация, г. Тюмень, ул. Володарского, д. 6References
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