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The Role of Ethics in Civil Liability Due to Artificial Intelligence
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Hasan Ghavami Timurloo1   , Siamak Jafarzadeh *2 |
1- PhD Student of Private Law, Department of Jurisprudence and Law, Faculty of Literature and Humanities, Urmia, Iran
2- Department of Jurisprudence and Islamic Law, Faculty of Literature and Humanities, Urmia, Iran , s.jafarzadeh@urmia.ac.ir |
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Abstract: (1 Views) |
Background: Significant advances in artificial intelligence technology have confronted traditional legal systems with emerging challenges in the field of civil liability. Features such as machine learning, autonomous decision-making, and the lack of direct human intervention in the operation of intelligent systems have made it difficult to attribute fault and identify the perpetrator or the perpetrator. Therefore, the present study was formed with the aim of investigating the role of ethics in civil liability due to artificial intelligence.
Conclusion: In Iranian law, existing frameworks such as Articles 1, 328, and 331 of the Civil Code and jurisprudential rules such as “I will not harm” and “no harm” are not able to fully cover these technological developments, and no specific legislation has been enacted in this area. However, the ethical issues of artificial intelligence in the digital space must be identified and addressed in order to prevent misuse. Therefore, ethical principles must be considered in the AI-based system and guidelines must be provided for users who implement AI technologies, which can be referred to as digital ethics. Therefore, choosing a specific civil liability mechanism for AI is socially and economically important. National laws have different approaches to adapting to the challenges of AI. Regarding the basis of AI liability, in general, fault-based liability is foreseen as a principle in most regulations of European countries.
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| Keywords: Ethics, fault, civil liability, strict liability, artificial intelligence |
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Full-Text [PDF 622 kb]
(1 Downloads)
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Type of Study: Review Article |
Subject:
Special
Received: 2026/05/12 | Accepted: 2026/07/18 | Published: 2026/09/1
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