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All Journal Moccasin Journal De Public Perspective
M. Arif Syahputra
Faculty of Law, Universitas Airlangga, Indonesia
Humanities Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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The Legal Implications of Artificial Intelligence-Generated Evidence in Criminal Proceedings Eldin Rahardian; M. Arif Syahputra
Moccasin Journal De Public Perspective Vol. 3 No. 2 (2026): Moccasin Journal De Public Perspective (MJDPP)
Publisher : Generasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/mjdpp.v3i2.378

Abstract

This study examines the legal implications of artificial intelligence-generated evidence in criminal proceedings, focusing on evidentiary admissibility, due process protection, and regulatory accountability. Using a doctrinal legal research design combined with comparative legal analysis, the study analyzes legislation, judicial developments, policy documents, and academic literature concerning the use of AI-generated evidence across multiple jurisdictions. The findings reveal that existing evidentiary doctrines remain applicable but are increasingly challenged by algorithmic opacity, limited explainability, reliability concerns, and the emergence of synthetic media. The study further demonstrates that AI-generated evidence may affect defendants’ ability to challenge evidentiary claims, thereby creating potential risks to procedural fairness and fair trial rights. The novelty of this research lies in the development of an integrated normative framework that connects traditional evidentiary principles with contemporary AI governance standards. The study contributes to ongoing debates regarding the regulation of AI within criminal justice systems and provides practical recommendations for strengthening transparency, accountability, and procedural safeguards in the use of AI-generated evidence.
Co-Authors Eldin Rahardian