The Legal Implications of Artificial Intelligence in Criminal Justice: From Surveillance to Sentencing
Indonesia 
Malaysia Malaysia 
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Artificial Intelligence, Criminal Justice, Legal Accountability
Abstract
Background. The increasing integration of Artificial Intelligence (AI) in criminal justice systems has raised significant concerns regarding its legal implications, particularly in surveillance and sentencing practices. As AI technologies become more embedded in law enforcement and judicial decision-making, questions surrounding privacy, accountability, and fairness have become central to discussions of legal reform.
Purpose. The study aims to evaluate the extent to which current legal frameworks can address these challenges and propose reforms to ensure ethical use of AI in criminal justice systems.
Method. A qualitative methodology is employed, using semi-structured interviews with legal experts, policymakers, and AI practitioners, alongside secondary data from case studies and policy documents.
Results. The findings indicate that while AI has the potential to enhance efficiency, it often perpetuates existing biases and lacks sufficient oversight, leading to unjust outcomes.
Conclusion. The study concludes that robust legal frameworks are essential to prevent the misuse of AI in criminal justice and to protect fundamental rights. This research contributes to the growing body of literature on AI's intersection with law and offers practical recommendations for legal reforms.
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References
Ahmad, A. (2026). Bias in AI systems: Integrating formal and socio-technical approaches. Frontiers in Big Data, 8(Query date: 2026-05-11 22:00:17). https://doi.org/10.3389/fdata.2025.1686452
Al-Ahmad, M. H. (2025). Criminal Liability for Artificial Intelligence Crimes. Studies in Computational Intelligence, 1174(Query date: 2026-05-11 22:00:17), 575–587. https://doi.org/10.1007/978-3-031-74220-0_45
Bakhtiary, H. (2026). Challenges of the Application of Emerging Neuroscience Technologies in Courts. Avicenna Journal of Medical Biotechnology, 18(1), 32–38. https://doi.org/10.18502/ajmb.v18i1.21043
Brauner, P. (2026). Charting the AI perception gap: Divergent views on risk, benefit, and value between experts and the public challenge the societal acceptance of AI. AI and Society, (Query date: 2026-05-11 22:00:17). https://doi.org/10.1007/s00146-026-03023-8
Dinis-Oliveira, R. J. (2025). Forensic science or sciences? The recognition as an independent science and redefinition of expert practices based on transdisciplinary. Forensic Sciences Research, 10(3). https://doi.org/10.1093/fsr/owaf012
Fakhri, M. M. (2025). From Ethics to Impact: Modeling the Role of AI Perception Dynamics in the Relationship between Ethics AI Practices, AI-Driven Societal Impact, and AI Behavioral Analysis. Journal of Applied Science Engineering Technology and Education, 7(1), 56–68. https://doi.org/10.35877/454RI.asci3802
Freitas, P. M. (2025). DEEPFAKES AND DIGITAL EVIDENCE IN DOMESTIC VIOLENCE: THE RISKS OF ARTIFICIAL INTELLIGENCE. Novos Estudos Juridicos, 30(3), 398–419. https://doi.org/10.14210/nej.v30n3.p398-419
Garzo, G. (2025). Does ChatGPT Understand the Law? A Case Study on Road Homicide in Italy. Frontiers in Artificial Intelligence and Applications, 416(Query date: 2026-05-11 22:00:17), 74–85. https://doi.org/10.3233/FAIA251578
Gokhale, A. (2025). Countering flaws in algorithm design and applications: A Delphi study. AI and Society, 40(5), 3721–3733. https://doi.org/10.1007/s00146-024-02124-6
Güneysu, G. (2025). Autonomous weapon systems and international criminal justice: Is deterrence still possible? International Journal of Human Rights, (Query date: 2026-05-11 22:00:17). https://doi.org/10.1080/13642987.2025.2594775
Hemalatha, P. (2025). Enlightened XAI: Illuminating Ethics and Equitable Explainability. Explainable Artificial Intelligence in the Healthcare Industry, (Query date: 2026-05-11 22:00:17), 593–617. https://doi.org/10.1002/9781394249312.ch25
Ibrahim, I. A. (2025). Framing AI’s Role in Achieving SDG 16. Artificial Intelligence Governance and Sustainable Development Peace Justice and Strong Institutions, (Query date: 2026-05-11 22:00:17), 1–15. https://doi.org/10.4324/9781003435136-1
Juneja, S. (2025). Ethical Decision-Making Using Artificial Intelligence: Challenges, Solutions and Applications. Dalam Ethical Decision Making Using Artificial Intelligence Challenges Solutions and Applications (hlm. 398). https://doi.org/10.1002/9781394275311
Kilaru, M. (2025). Ethical artificial intelligence (AI) design and implementation: Safeguarding democratic values. AI and the Future of Democracy Building Resilient and Inclusive Societies, (Query date: 2026-05-11 22:00:17), 73–81. https://doi.org/10.1201/9781003594185-5
Koc, V. (2025). Framework for Fairness in Machine Learning Using Detecting and Mitigating Bias in AI Algorithms. 3rd International Conference on Business Analytics for Technology and Security Icbats 2025, (Query date: 2026-05-11 22:00:17). https://doi.org/10.1109/ICBATS66542.2025.11258168
Kumar, R. (2025). Enhancing Trust and Performance in AI-Driven Healthcare: A Comprehensive Review of Explainable AI Features. 16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2(Query date: 2026-05-11 22:00:17), 173–181.
Lingam, K. (2025). Data-driven justice: Survey on approaches to identify and mitigate biases to build fair artificial intelligent models for Indian justice system. Intelligent Decision Technologies, 19(2), 888–910. https://doi.org/10.1177/18724981241301281
Luong, H. T. (2025). Enhancing Criminology and Criminal Justice Research with Artificial Intelligence: A Case Study of ResearchRabbit for Discovering and Visualizing Literature. Journal of Criminal Justice Education, (Query date: 2026-05-11 22:00:17). https://doi.org/10.1080/10511253.2025.2580981
Manus, A. C. M. (2025). Avoiding the Formalism Trap: A Critical Evaluation and Selection of Statistical Fairness Metrics in Public Algorithms. Revista De Estudios Sociales, 2025(93), 85–106. https://doi.org/10.7440/res93.2025.05
Mielismäki, H. (2025). Ethical Implications of AI?Driven Chatbots in Domestic Violence Support. Social Inclusion, 13(Query date: 2026-05-11 22:00:17). https://doi.org/10.17645/si.9998
Moore, C. (2025). Concerning the Responsible Use of AI in the U.S. Criminal Justice System. Communications of the ACM, 68(8), 41–44. https://doi.org/10.1145/3722548
Otero, R. G. (2025). Crypto crime: Approaches from transnational crime and money laundering in Colombia. Procedia Computer Science, 257(Query date: 2026-05-11 22:00:17), 1166–1171. ,https://doi.org/10.1016/j.procs.2025.03.155
Padilla, K. E. (2025). Emerging tools and technologies and the future of policing Research: An introduction. Police Practice and Research, 26(6), 649–653. https://doi.org/10.1080/15614263.2025.2543312
Paradise, A. (2025). Child Sexual Abuse Material, Progression to Contact Offending and the Evolution of Technology. Rethinking the Police for A Better Future Navigating Policing Challenges with Accountability and Trust, (Query date: 2026-05-11 22:00:17), 259–273. k
Parra, R. C. (2026). Forensic Science and Quality Management: Addressing the Era of Standardization in Challenging Environments. Dalam Forensic Science and Quality Management Addressing the Era of Standardization in Challenging Environments (hlm. 265). https://doi.org/10.1002/9781394240401
Patel, K. (2025). Evolving Role of AI in Forensic Science and Crime Investigation. Combating Cyberbullying with Generative AI, (Query date: 2026-05-11 22:00:17), 365–388. https://doi.org/10.4018/9798337305431.ch013
Ponmalar, S. (2025). Ethical Challenges and Bias in Real-World AI: A Fairness-Oriented Approach to Resume Screening Systems. Proceedings of 3rd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2025, (Query date: 2026-05-11 22:00:17), 674–681. https://doi.org/10.1109/ICAISS61471.2025.11042179
Ragavee, U. (2025). ForensicAI-Net: An Ensemble Model Framework for Strengthening Forensic Science in India’s Criminal Justice System. 2025 7th International Symposium on Advanced Electrical and Communication Technologies Isaect 2025, (Query date: 2026-05-11 22:00:17). https://doi.org/10.1109/ISAECT68904.2025.11318760
Reddy, K. J. (2025). Foundations of Criminal Forensic Neuropsychology: Bridging Mind, Law, and Criminal Justice. Dalam Foundations of Criminal Forensic Neuropsychology Bridging Mind Law and Criminal Justice (hlm. 586). https://doi.org/10.1007/978-3-031-83771-5
Santos, H. L. dos. (2026). Biased Algorithmic Risk Assessment in criminal justice settings: How is COMPAS fraying the fabric of the right to a human decision-making in criminal procedure law. Revista Brasileira De Direito Processual Penal, 12(1). https://doi.org/10.22197/rbdpp.v12i1.1287
Skaiky, A. a. (2025). Bias & Fairness in AI Models: Developing Techniques to Reduce Bias in AI-Generated Decisions. 2025 IEEE 4th International Conference on Computing and Machine Intelligence Icmi 2025 Proceedings, (Query date: 2026-05-11 22:00:17). https://doi.org/10.1109/ICMI65310.2025.11141319
Srivash, A. (2025). Ethical Implication of AI Decision-Making in Various Sectors. Advances in AI for Financial Cyber and Healthcare Analytics A Multidisciplinary Approach, (Query date: 2026-05-11 22:00:17), 62–73. https://doi.org/10.2174/9798898810542125010007
Strikaite-Latusinskaja, G. (2025). FROM EDITORS: ARTIFICIAL INTELLIGENCE AND LAW IN A WORLD OF ACCELERATING CHANGE. Access to Justice in Eastern Europe, 8(Query date: 2026-05-11 22:00:17), 6–14. https://doi.org/10.33327/AJEE-18-8.S-ed000164
Tiyyala, V. M. (2026). Characterizing public comments via Regulations.gov in response to proposed cannabis rescheduling in the United States. Addiction, (Query date: 2026-05-11 22:00:17). https://doi.org/10.1111/add.70410
