Adapting the Causation Requirement in Civil Liability to the Specific Characteristics of Artificial Intelligence Systems: A Study in Light of the EU Artificial Intelligence Act

Law
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Authors

Name: Zeinab Ali Khazem | Country: Lebanese Republic
Department / Fine Specialization: Law / Private Law
Institution / University: Islamic University of Lebanon

🎓 Scientific Supervisor

Name: Rima Mohamad Faraj | Country: Lebanese Republic
Department / Fine Specialization: Law / Private Law
Institution / University: Islamic University of Lebanon

Abstract

This study examines the extent to which the characteristics of artificial intelligence systems affect the element of causation in civil liability, and the resulting difficulties in identifying the effective cause of damage and establishing the causal link before the courts. It also examines the extent to which traditional theories of causation can accommodate these difficulties, as well as the contribution of the European Union Artificial Intelligence Act, alongside the mechanisms proposed by the Artificial Intelligence Liability Directive, in mitigating the impact of artificial intelligence systems on the fundamental principles underlying the element of causation in civil liability. The study concludes that the particular characteristics of artificial intelligence systems do not necessarily require a reconsideration of these fundamental principles, but rather call for addressing the difficulties associated with identifying the causes of damage and establishing the causal link between those causes and the resulting harm, thereby enhancing the effectiveness of civil liability rules.
Keywords: Artificial Intelligence Systems, Civil Liability, Element of Causation, EU Artificial Intelligence Act, Proposal for an AI Liability Directive
Research Language: Arabic
How to cite:
ElQarar Journal for Peer-Reviewed Scientific Research, Vol. 12, Issue 35, Year (3), pp. 223-244.
⚖️ Conflict of Interest:

The author/authors declare no conflict of interest regarding the publication of this research.

💰 Funding:

This study did not receive any financial support or grant from any public, private, or non-profit entity.

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