Višnjić, Ivana and Vukadinović Marković, Jelena (2025) Grounds for exclusion of liability for damage caused by artificial intelligence: A traditional approach to new trends. In: Izazovi prilagođavanja pravnog okvira tehnološkim promenama u digitalnom društvu. Institut za uporedno pravo, Beograd. ISBN 978-86-82582-43-4
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The subject of this paper is the analysis and reconsideration of the grounds for exclusion of liability for damage caused by artificial intelligence. The aim of the paper is to identify and examine the relevant bases of liability for damage caused by artificial intelligence and, accordingly, to present the potential grounds for its exclusion. The paper, therefore, seeks to outline the exonerating grounds that may apply within the framework of traditional tort law in the continental legal tradition, as well as to highlight potential difficulties or shortcomings in their application to cases where damage has been caused by artificial intelligence in the broadest sense of the term. The purpose of the paper is also to emphasize the need to analyze and reconsider traditional legal concepts in order to ensure their alignment with modern legal developments, particularly in light of the continuous digitalization and rapid advancement of artificial intelligence in the modern era. In preparing this paper, the relevant legislation of the Republic of Serbia has been used, along with instruments aimed at harmonizing artificial intelligence law at the level of the European Union, such as the Artificial Intelligence Act and the Proposal for a Directive of the European Parliament and of the Council on Adapting Non-Contractual Civil Liability Rules to Artificial Intelligence.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | liability for damage, AI Liability Directive, strict liability, artificial intelligence, tort liability |
| Subjects: | Obligaciono pravo Veštačka inteligencija |
| Depositing User: | Aleksandra Višekruna |
| Date Deposited: | 31 Dec 2025 18:33 |
| Last Modified: | 31 Dec 2025 18:33 |
| URI: | http://ricl.iup.rs/id/eprint/2324 |
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