Kualifikasi Delik dan Pertanggungjawaban Pidana Penipuan Berbasis Deepfake dalam KUHP Nasional
DOI:
https://doi.org/10.31004/jh.v6i4.2909Abstract
The development of artificial intelligence has produced deepfake technology capable of convincingly manipulating faces, voices, and videos, creating opportunities for its misuse as a means of fraud. A legal issue arises because Article 492 of Law Number 1 of 2023 concerning the Criminal Code does not specifically regulate deepfake-based fraud, while its application must comply with the principle of legality and the prohibition of analogy. This research aims to examine the interpretation of fraud elements under Article 492 and the construction of criminal liability for parties involved. This normative juridical research employs statutory, conceptual, and case approaches. Legal materials consisting of primary, secondary, and tertiary sources are analyzed qualitatively and prescriptively. The findings indicate that deepfake may constitute a means of deceit when used to mislead victims and induce them to surrender Goods or benefits. Criminal liability is determined according to the role and culpability of each party, while artificial intelligence is positioned as an instrument of the offense.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Radhin Naufal Faris, Daniel Sianturi, Taun Taun

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journals published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).








