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Ruang Jurnal, Gedung B, Fakultas Hukum, Universitas Lampung. Jl. Sumantri Brojonegoro No.1 Bandar Lampung. 35145. Indonesia
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FIAT JUSTISIA: Jurnal Ilmu Hukum
Published by Universitas Lampung
ISSN : 19785186     EISSN : 24776238     DOI : http://doi.org/10.25041/fiatjustisia
Core Subject : Social,
Law, Crime, Criminology & Criminal Justice
Fiat Justisia: Jurnal Ilmu Hukum is an open access and peer-reviewed journal that aims to offer an international academic platform for cross-border legal research encompassing specifically concerning human rights, policy, values of Islam. These may include but are not limited to various fields such as: ● humanity ● heritage law ● family law ● civil and political rights ● economic, social, and cultural rights ● solidarity rights ● philosophy of law ● private law ● international law ● civil law ● criminal law ● administrative law ● constitutional law ● adat law ● Intellectual Property Rights ● commercial court ● district court ● high court ● supreme court ● constitutional court ● industrial relations court ● administrative court ● fishery court ● military court ● taxation court ● court of human rights ● court of religion
Arjuna Subject : Ilmu Sosial - Hukum
Articles 1 Documents
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Search results for , issue "vol. 20 no. 4 (2026)" : 1 Documents clear
Artificial Intelligence as a Functional Organ of Corporations: A Reconstruction of Criminal Liability Dewi Muti'ah; Erma Rusdiana; Tolib Effendi; Faisal Adhyaksa; Souad Ezzerouali
Fiat Justisia: Jurnal Ilmu Hukum Vol. 20 No. 4 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25041/fiatjustisia.v20no4.5803

Abstract

The rapid development of Artificial Intelligence (AI) has created new challenges for criminal law, particularly regarding liability for offenses committed through autonomous AI systems. This study examines the legal position of ai within criminal law and develops an appropriate model of criminal liability for AI-related offenses. Using normative legal research with statutory, conceptual, theoretical, and interpretative approaches, the study finds that ai should not be recognized as an independent subject of criminal law but as a functional component of the corporate structure. Because AI operates within systems designed, controlled, and deployed by corporations, offenses committed through AI should be attributed to the responsible corporation and addressed under the existing corporate criminal liability framework. Corporate fault should be assessed through failures in the design, control, supervision, and governance of AI systems. This approach closes potential accountability gaps, preserves legal certainty, and enables criminal law to address AI-related risks without creating a new legal subject.

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