نوع مقاله : مقاله پژوهشی
نویسندگان
1 استاد گروه حقوق خصوصی، دانشگاه علوم قضائی و خدمات اداری، تهران، ایران
2 حقوق خصوصی. دانشکده حقوق. دانشگاه علوم قضایی. تهران. ایران.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Deepfake technology, by collapsing the boundaries between truth and fabrication, confronts the legal system with a crisis in evidentiary authentication and the inefficacy of identifying anonymous perpetrators. The purpose of this study is to analyze the capacity of Iranian law to address these challenges and propose a new liability framework. The central question investigates how Islamic jurisprudential principles and comparative models can be employed to resolve the evidentiary obstacles and liability attribution issues regarding deepfakes. Adopting an analytical-comparative methodology , the article argues that deepfakes constitute "digital identity usurpation" rather than mere defamation, necessitating a shift from individual to systemic liability. The findings indicate that the traditional "fault-based" paradigm is insufficient due to the "Liar’s Dividend" phenomenon and the anonymity of users. Consequently, by applying the Islamic rules of Tasbib (Causation—specifically where the cause is stronger than the agent) and La Zarar (No Harm), the study concludes that digital platforms, as creators of risk and economic beneficiaries, must be held liable. Furthermore, to overcome evidentiary challenges and guarantee practical redress, “shifting the burden of proof in doubtful cases,” mandating platforms to “detect and label AI-generated content,” and establishing “cyber victim compensation funds” are essential for safeguarding justice in the AI era.
کلیدواژهها [English]
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