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All Journal Jurnal Komunikasi Hukum Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Journal of Social And Economics Research Journal of Law, Poliitic and Humanities Al-Zayn: Jurnal Ilmu Sosial & Hukum Focus Journal Law Review ADM : Jurnal Abdi Dosen dan Mahasiswa journal of social and economic research Kertha Semaya : Journal Ilmu Hukum Journal of Civil Criminal Law
Kiki Kristanto
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Artificial Intelligence in Criminal Investigations: Legal Implications for Evidence Admissibility, Accountability, and Protection of Fundamental Human Rights Satriya Nugraha; Kiki Kristanto; Fahrizal S.Siagian
Journal of Civil Criminal Law Vol. 1 No. 3 (2025): December : International Journal of Civil Criminal Law
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/jccl.v1i3.141

Abstract

The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.
Co-Authors Agus Mulyawan Aristoteles Christio Drakhma Dekapolis Efni Fadlullah Azmy Fahrizal S.Siagian Firlianty, Firlianty Harry Hilyatul Asfia Ifa Lorenza Indang Sulastri Isno Pandowo Joanita Jalianery Karima Naila Putri Karlinae D. Bangas Mrs. Heriamariaty Mutia Evi Kristhy Rizki Setyobowo Sangalang Sangking Mahar Satriya Nugraha Sefti Natania Sintia Siregar Suriansyah Murhaini Suriansyah Murhani Thea Farina Theresia Mentari Yurika F.Dewi