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Record Nr. |
UNINA9910987785703321 |
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Autore |
Muftić Nasir |
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Titolo |
Artificial Intelligence and Tortious Liability : Case Study of Bosnia and Herzegovina / / by Nasir Muftić |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XI, 220 p.) |
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Collana |
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European Union and its Neighbours in a Globalized World, , 2524-8936 ; ; 21 |
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Disciplina |
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Soggetti |
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Information technology - Law and legislation |
Mass media - Law and legislation |
Law - Europe |
IT Law, Media Law, Intellectual Property |
European Law |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1 Introduction -- 2 Understanding AI and the current legal landscape -- 3 Liability within the wider framework -- 4 Bases of liability -- 5 Allocation of liability -- 6 Position of an injured party -- 7 Conclusion. |
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Sommario/riassunto |
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This book examines whether current liability systems can handle cases involving artificial intelligence (AI). It questions whether general liability rules, designed to be technology-agnostic, are adequate for AI-related accidents. While focusing on Bosnia and Herzegovina, it addresses issues relevant across Europe, offering answers based on common principles and tort law rules. The book begins with an introduction to AI technology and associated civil law challenges regarding e.g. autonomy, data importance, and non-transparency. It then discusses the broader context of civil law issues, the role of liability systems, rule-making levels and timing, and ancillary mechanisms like insurance and safety standards. The bases of liability in Bosnia and Herzegovina are examined, including objective and subjective liability, product liability, and vicarious liability. The allocation of liability is also addressed, focusing on AI’s autonomy and loss of user control, and |
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evaluating traditional liability allocation principles. Finally, the book analyzes why those harmed by AI might be worse off than those affected by conventional adverse events. |
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