This article is devoted to one of the most pressing legal issues in the era of the digital economy and the global technological revolution – determining criminal liability in traffic accidents involving unmanned vehicles equipped with artificial intelligence. The author deeply analyzes the conceptual differences between traditional norms of criminal law and self-learning automated programs. During the study, using the experience of the USA, China, and other countries as examples, particularly real accidents involving unmanned vehicles, legal gaps are revealed. The article critically examines the views of foreign and domestic scientists, with whom the author engages in a scientific debate. The impossibility of recognizing artificial intelligence as a subject of a crime is justified, while it is strictly emphasized that the mechanisms for recovering material damage cannot replace criminal liability. The article also separately examines cases where a software defect, a maintenance deficiency, external interference with the system, or a violation by another road user caused a traffic accident. In resolving the issue of criminal liability, it highlights the necessity of determining the vehicle’s degree of automation, the fault of the responsible person, and the causal link between their action or omission and the resulting consequences. In conclusion, the author has developed comprehensive, scientifically grounded proposals and recommendations on considering artificial intelligence as a “quasi-subject”, categorizing crimes aimed at cyberspace separately, and introducing new norms adapted to future technologies into criminal legislation.
| Mualliflar | OTAJONOV, Abrorjon |
|---|---|
| Jurnal | Юрист ахборотномаси |
| Nashriyot | Адлия вазирлиги Юристлар МОМ |
| ISSN | 2181-9416 |
| Nashr sanasi | 2026-10-29 |
| Jild | 1 |
| Son | 5 |
| Betlar | 92-105 |
| Til | Ingliz |
| Ilmiy soha | Yuridik |
| Indeksga qo‘shilgan | 2026-11-01 |
sun’iy intellekt, haydovchisiz transport vositasi, yoʻl-transport hodisasi, jinoiy javobgarlik, kvazi-subyekt, kompyuter dasturi, kiberjinoyatchilik, avtomatlashtirilgan boshqaruv tizimi, jinoyat huquqi, jinoyat subyekti, huquqiy maqom, axborot texnologiyalari, xavfsizlik, raqamli iqtisodiyot, aybsiz holda zarar yetkazish, dasturiy ta’minot, huquqiy boʻshliq.
| APA | OTAJONOV, Abrorjon (2026). MODERN LEGAL PROBLEMS OF DETERMINING CRIMINAL LIABILITY IN TRAFFIC ACCIDENTS INVOLVING UNMANNED VEHICLES EQUIPPED WITH ARTIFICIAL INTELLIGENCE. Юрист ахборотномаси, 1(5), 92-105. https://yuristjournal.uz/index.php/lawyer-herald/article/view/1309 |
|---|---|
| GOST (OAK) | OTAJONOV, Abrorjon MODERN LEGAL PROBLEMS OF DETERMINING CRIMINAL LIABILITY IN TRAFFIC ACCIDENTS INVOLVING UNMANNED VEHICLES EQUIPPED WITH ARTIFICIAL INTELLIGENCE // Юрист ахборотномаси. – 2026. – T. 1, № 5. – P. 92-105. |
| MLA | OTAJONOV, Abrorjon. “MODERN LEGAL PROBLEMS OF DETERMINING CRIMINAL LIABILITY IN TRAFFIC ACCIDENTS INVOLVING UNMANNED VEHICLES EQUIPPED WITH ARTIFICIAL INTELLIGENCE.” Юрист ахборотномаси, 1(5), 92-105, 2026. https://yuristjournal.uz/index.php/lawyer-herald/article/view/1309 |
| Chicago | OTAJONOV, Abrorjon. “MODERN LEGAL PROBLEMS OF DETERMINING CRIMINAL LIABILITY IN TRAFFIC ACCIDENTS INVOLVING UNMANNED VEHICLES EQUIPPED WITH ARTIFICIAL INTELLIGENCE.” Юрист ахборотномаси, 1(5), 92-105 (2026). https://yuristjournal.uz/index.php/lawyer-herald/article/view/1309 |
| Harvard | OTAJONOV, Abrorjon (2026) ‘MODERN LEGAL PROBLEMS OF DETERMINING CRIMINAL LIABILITY IN TRAFFIC ACCIDENTS INVOLVING UNMANNED VEHICLES EQUIPPED WITH ARTIFICIAL INTELLIGENCE’, Юрист ахборотномаси, 1(5), 92-105. https://yuristjournal.uz/index.php/lawyer-herald/article/view/1309 |
| BibTeX | @article{otajonovabrorjon2026,
title = {MODERN LEGAL PROBLEMS OF DETERMINING CRIMINAL LIABILITY IN TRAFFIC ACCIDENTS INVOLVING UNMANNED VEHICLES EQUIPPED WITH ARTIFICIAL INTELLIGENCE},
author = {OTAJONOV, Abrorjon},
journal = {Юрист ахборотномаси},
year = {2026},
volume = {1},
number = {5},
pages = {92-105},
url = {https://yuristjournal.uz/index.php/lawyer-herald/article/view/1309}
} |
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