Application of Artificial Intelligence in Security-Oriented Criminal Policy: Opportunities and Challenges

Authors

    Seyedeh Monira Hejazi Department of Criminal Law and Criminology, Ta.c., Islamic Azad University, Tabriz, Iran
    Baharak Shahed * Department of Criminal Law and Criminology, Ur.c., Islamic Azad University, Urumiyeh, Iran baharakshahed@iau.ac.ir
    Jamal Beigi Department of Criminal Law and Criminology, Ma.c., Islamic Azad University, Maragheh, Iran
    Keyvan Heidarnejad Department of Criminal Law and Criminology, Sha.c., Islamic Azad University, Shabestar, Iran
https://doi.org/10.61838/kman.lsda.223

Keywords:

artificial intelligence, security-oriented criminal policy, crime prediction, proactive prevention

Abstract

Artificial intelligence (AI), as one of the outcomes of information and communication technologies, has led to remarkable transformations in all aspects of human life, particularly in public policymaking. Criminal justice institutions have shown a strong interest in using AI capabilities in security-oriented criminal policies, including crime prediction, sentencing, recidivism prevention, and risk management. Accordingly, the present study aims to analyze the opportunities and challenges associated with the application of AI in security-oriented criminal policy. The research follows a qualitative approach, seeking to comprehensively examine the study subject through a descriptive–analytical method and by using library resources relevant to the topic. The findings indicate that although AI can serve as an efficient tool in support of criminal policy, in the absence of clear legal frameworks, human oversight, and mechanisms ensuring justice, there is an increased risk of excessive securitization of criminal policy and the erosion of fundamental citizens’ rights. Therefore, achieving legitimate and fair use of AI requires balancing technological efficiency with the principles of criminal justice.

References

Abuzari, M. (2021). Academic Chair on the Application of Artificial Intelligence in Crime Prevention. Danesh Shahr Legal Research Institute

Abuzari, M. (2022). The Impact of Artificial Intelligence on the Quality of Criminal Investigations. Journal of New Technology Law, 6(3), 2-13.

Abuzari, M. (2024). Combating Delinquency in the Age of Artificial Intelligence: Prediction as Prevention. Bi-quarterly Journal of Research and Development in Criminal Law and Criminology, 1(2), 37-67.

Brayne, S. (2017). Big Data Surveillance: The Case of Policing. American Sociological Review, 82(5), 977-1008. https://doi.org/10.1177/0003122417725865

Chen, Q. (2025). Improving the trial efficiency of criminal cases with the assistance of artificial intelligence. Discov Artif Intell, 5(110), 1-14. https://doi.org/10.1007/s44163-025-00353-2

Cousen, M. (2005). Video Surveillance: The Reasons for Success and Failure.

Dashti, T. S., & Mo'tamadnejad, R. (2024). The Position of Artificial Intelligence in European Union Legislation. Journal of News Sciences, 5-18.

Ebrahimi, S. (2022). Preventing Recidivism through Artificial Intelligence: Requirements and Limitations. Quarterly Journal of Criminal Law Teachings, 19(23), 33-54.

Ehsanpour, S. R. (2025). The Importance and Position of Artificial Intelligence in Crime Prevention. Applied Criminology Research, 3(4), 59-80.

Europol. (2023). The Second Quantum Revolution - The impact of quantum computingand quantum technologies on law enforcement.

Ghorbani, E., & Ehteshami, A. (2025). A Model for the Application of Artificial Intelligence in Developing Information Dominance to Counter New Psychoactive Substances in Cyberspace. Quarterly Journal of NAJA Strategic Studies, 10(1), 193-228.

Hakim, S. M., & Ebrahimian, S. H. (2023). A Jurisprudential and Legal Study of the Deprivation of Citizen Security by Artificial Intelligence. Quarterly Journal of Islamic Jurisprudence and Law Research, 19(72), 74-101.

Jalali, S. (2024). A Systematic Review of Applied Artificial Intelligence Techniques in Crime Prediction Using a Meta-Synthesis Method. Quarterly Journal of Law Enforcement Order and Security, 17(4), 127-164.

Khalilpour, S. A. (2020). The Legislative Policy of Iranian Criminal Law with an Approach to Securing Cybersecurity for Children. International Quarterly Journal of Qanoun Yar, 325-338.

Kord Alivand, R. (2023). A Comparative Study of the Application of Artificial Intelligence in Criminal Prosecution: Capacities and Challenges. Quarterly Journal of Comparative Law Research, 27(1), 81-104.

Mahdavipour, A., & Shahrani Karani, N. (2014). The Securitization of Criminology: Strategies and Its Effects on Criminal Law. Journal of Criminal Law Research, 5(1), 159-188.

Mahmoudi, A. R., & Bahr Kazemi, M. (2024). Artificial Intelligence and its Impact on Cybersecurity and the Right to Privacy. Quarterly Journal of Comparative Law Research(3), 88-105.

Majidi, S. M., & Tajabadi, F. (2019). Security-Oriented Criminalization Techniques in Iranian Criminal Law. Journal of Islamic Jurisprudence and Law Studies, 11(21), 289-316.

Marty, D. (2019). Great Criminal Policies. Mizan Publishing.

Meybodi, M. (2021). A Shift in the Orientation of Prevention based on Hardline Policies and Restrictive Human Rights Mechanisms in Security Criminology. Journal of Medical Law, Special Issue on Legal Innovations, 322-340.

Mir Mohammadsadeghi, H., & Soltani Ranani, A. H. (2023). The Security-Oriented Approach of Iran's Criminal Policy towards Economic Crimes: Foundations and Instances. Quarterly Journal of Economic and Commercial Law Research(4), 11-41.

Mohammadinia, O., & Alizadeh, A. (2023). The Role and Impact of Artificial Intelligence in the Process of Crime Detection. Scientific Quarterly of the Detective, 17(63), 85-104.

Najafi Abrandabadi, A. M. (2012). From Critical Criminology to Security Criminology. (pp. 1-50)

Nazemnejad, A. (2024). Smart Management and Oversight Using Artificial Intelligence: New Solutions for the Law Enforcement Force. Quarterly Journal of Semnan Police Knowledge, 14(51), 115-127.

Richardson, R., Schultz, J. M., & Crawford, K. (2019). Dirty data, bad predictions: How civil rights violations impact police data, predictive policing systems, and justice. New York University Law Review, 94(1), 192-233.

Salari, S. (2021). The Approach of Iranian and English Criminal Law to Liability Arising from Artificial Intelligence Shahid Beheshti University].

Seifi, A., & Razmkhah, N. (2021). Artificial Intelligence and the Challenges Ahead in the Realm of International Human Rights Law with an Approach to the Right to Work. Bi-quarterly Journal of Human Rights, 17(22), 55-74.

Situmeang, S. M. T., Harliyanto, R., Zulkarnain, P. D., Nahdi, U., & Nugroho, T. (2024). The Role of Artificial Intelligence in Criminal Justice. Global International Journal of Innovative Research, 2(8). https://doi.org/10.59613/global.v2i8.264

Soltani Mofrad, S. (2021). Criminal Justice in the Model of Comprehensive Authoritarian Formal Criminal Policy with an Emphasis on the Rights of the Accused in Preliminary Investigations. Quarterly Journal of Iranian Sociology, 4(2), 403-420.

Soufi, S., & Salehnejad Bahrestaghi, S. (2023). The Impact of Artificial Intelligence on the Commission of Cybercrimes. Journal of Legal Studies, 11(51), 1-18.

Takemura, N. (2021). AI-Algorithm-Big Data, Predictive Criminal Justice and Hyper Crime/Social Control: Surveillance Capitalism after 'Singularity' and Prospects of Informational Civilization. International Journal for Crime, Justice and Social Democracy, 10(3), 1-16.

Tarseli, A. (2023). The Application of Artificial Intelligence in Improving Information Gathering and Analysis. Scientific Quarterly of Interdisciplinary Strategic Knowledge Studies, 14(56), 277-303.

Downloads

Published

2025-12-13

Submitted

2025-07-01

Revised

2025-09-25

Accepted

2025-10-02

Issue

Section

Articles

How to Cite

Hejazi , S. M. ., Shahed, B., Beigi , J. ., & Heidarnejad, K. . (2025). Application of Artificial Intelligence in Security-Oriented Criminal Policy: Opportunities and Challenges. Legal Studies in Digital Age, 1-10. https://doi.org/10.61838/kman.lsda.223

Similar Articles

71-80 of 106

You may also start an advanced similarity search for this article.