Legal Regime of Transport Ecosystems Based on the Principles of Artificial Intelligence
https://doi.org/10.30932/1992-3252-2024-22-1-7
Abstract
The functioning of transport and all the relevant infrastructure gives rise to the phenomenon of a transport ecosystem. The nature of transport and other legal relations arising within the transport ecosystem is largely determined by the process of technological development of society.
The objective of the study was, based on the achievements of legal hermeneutics and the application of systemic legal analysis, to analyse the legal regime of transport ecosystems based on the principles of functioning of artificial intelligence. Application of comparative legal and formal dogmatic analysis methods allowed to achieve scientific results in the field of transport legal science, particularly, to substantiate a scientific hypothesis that the implementation of a high-tech element in the form of artificial intelligence entails fundamental changes in the methodological basis of functioning of transport ecosystems, transforms the concept of management influence on the processes occurring in them and entails a change in the nature and content of legal regulation of transport and related public relationships. The findings focus on shaping new scientific ideas on the legal regime of transport ecosystems based on the principles of functioning of artificial intelligence.
About the Authors
N. L. BondarenkoBelarus
Natalia L. Bondarenko - D.Sc. (Law), Professor, Head of the Department of Economic Law, Faculty of Law of Belarusian State University.
Minsk
Yu. G. Konanevich
Belarus
Yury G. Konanevich - Senior Lecturer at the Department of Economic Law, Faculty of Law of Belarusian State University.
Minsk
A. I. Zemlin
Russian Federation
Alexander I. Zemlin - D.Sc. (Law), Ph.D. (Philosophy), Professor, Honoured Scientist of the Russian Federation, Head of the Department of Russian State Social University; Expert of the Centre for Expertise in Transport of Russian University of Transport; Scientific Director of the «Transport Security» Department of the Scientific Expert Council of the Centre for Security Research of Russian Academy of Sciences.
Moscow
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Review
For citations:
Bondarenko N.L., Konanevich Yu.G., Zemlin A.I. Legal Regime of Transport Ecosystems Based on the Principles of Artificial Intelligence. World of Transport and Transportation. 2024;22(1):50-57. https://doi.org/10.30932/1992-3252-2024-22-1-7