AI-BASED DERADICALIZATION: OPPORTUNITIES, RISKS, AND CASE STUDIES

Authors

  • Zora A. Sukabdi University of Indonesia, Indonesia

DOI:

https://doi.org/10.29121/digisecforensics.v2.i2.2025.63

Keywords:

Counterterrorism, Artificial Intelligence, Terrorism, Deradicalization, Extremism

Abstract

Radicalization is a multifaceted process characterized by the embrace of extreme ideologies and actions that contravene societal norms, potentially culminating in violent extremism. Deradicalization, or more broadly, countering violent extremism (CVE), encompasses the processes, initiatives, and interventions aimed at reversing or counteracting radicalization, facilitating individuals' disengagement from extremist ideology or behaviors. Recent studies underscore the increasing significance of artificial intelligence (AI) in combating online extremism and facilitating deradicalization initiatives. AI tools are being developed to identify extremist content, forecast at-risk individuals, and study the communication patterns and propaganda tactics of extreme groups, especially on social media platforms. These platforms can distribute counter-narratives and positive representations to contest extreme ideas; nevertheless, their efficacy relies on ethical and responsible implementation, along with interdisciplinary collaboration. Although Artificial Intelligence (AI) has emerged as a potential instrument in various fields including extensive data, pattern recognition, personalization, automation, and decision support, there is a paucity of research about the application of AI in the deradicalization of terrorist criminals within correctional facilities. This study aims to examine the prospects, risks, and trajectories of AI-based deradicalization. This study seeks to comprehend the role of AI in deradicalization efforts. This study identified ways for implementing AI-based deradicalization through a literature analysis and interviews with cyber and deradicalization specialists, as well as past terrorist offenders, which are included in the RARE Model (Relation-Assistance-Reintegration-Evaluation). This research may assist practitioners or governments in executing AI-driven deradicalization initiatives.

References

Abdullah, M., Amiruddin, M. H., Dewi, E., and Mannan, N. H. (2025). Moderation of Thought in the Age of Radicalism: The Role of Social Media and Political Education in Countering Hate Content. Tafkir: Interdisciplinary Journal of Islamic Education, 6(1), 94–110. https://doi.org/10.31538/tijie.v6i1.1373

Abror, S., and Wahrudin, B. (2025). Countering Religious Extremism: Innovative Deradicalization Strategies for Building Inclusive Communities. MUNIF: International Journal of Religion Moderation, 1(1), 57–76. https://doi.org/10.71305/munif.v1i1.448

Al-Babli, A. (2023). Artificial Intelligence Mechanisms in Countering Violent Extremism. Journal of Police and Legal Sciences, 14(1), Article 5. https://doi.org/10.69672/3007-3529.1015

Anandari, A. A. (2022). Mathematical Modeling to Measure the Level of Terrorism Deradicalization Effectiveness. IJID (International Journal on Informatics for Development), 11(1), 202–211.

Anindya, C. R. (2019). The Deradicalisation Programme for Indonesian Deportees: A Vacuum in Coordination. Journal for Deradicalization, (18), 217–243.

Aslam, M. M. (2019). De-Constructing Violent Extremism: Lessons from Selected Muslim Countries. DINIKA: Academic Journal of Islamic Studies, 4(1), 1–20. https://doi.org/10.22515/dinika.v4i1.1708

Aslam, M. M. (2020). Preventing and Countering Violent Extremism: Lessons from Selected Muslim Countries. Islam Realitas: Journal of Islamic and Social Studies, 6(1), 1–13. https://doi.org/10.30983/islam_realitas.v6i1.3152

Cross, S., Bell, I., Nicholas, J., Valentine, L., Mangelsdorf, S., Baker, S., Titov, N., and Alvarez-Jimenez, M. (2024). Use of AI in Mental Health Care: Community and Mental Health Professionals Survey. JMIR Mental Health, 11, e60589. https://doi.org/10.2196/60589

Davis, A. L. (2021). Artificial Intelligence and the Fight Against International Terrorism. American Intelligence Journal, 38(2), 63–73.

Dobrev, D. (2013). Comparison Between the Two Definitions of AI. arXiv. https://arxiv.org/abs/1302.0216

Fernandez, M., and Alani, H. (2021). Artificial Intelligence and Online Extremism: Challenges and Opportunities. In Predictive policing and artificial intelligence (132–162). Routledge. https://doi.org/10.4324/9780429265365-7

Gunton, K. (2022). The Use of Artificial Intelligence in Content Moderation in Countering Violent Extremism on Social Media Platforms. In Artificial intelligence and national security (69–79). Springer. https://doi.org/10.1007/978-3-031-06709-9_4

Helmus, T. C., and Klein, K. (2018). Assessing Outcomes of Online Campaigns Countering Violent Extremism: A Case Study of the Redirect Method (RAND RR-2813). RAND Corporation. https://doi.org/10.7249/RR2813

Horgan, J., Meredith, K., and Papatheodorou, K. (2020). Does Deradicalization Work? In A. Silke (Ed.), Radicalization and Counter-Radicalization (239–260). Emerald Publishing. https://doi.org/10.1108/S1521-613620200000025001

Hussain, M. N., Tokdemir, S., Agarwal, N., and Al-Khateeb, S. (2018). Analyzing Disinformation and Crowd Manipulation Tactics on YouTube. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (1092–1095). IEEE. https://doi.org/10.1109/ASONAM.2018.8508766

Ilyas, M., and Athwal, R. (2021). De-Radicalisation and Humanitarianism in Indonesia. Social Sciences, 10(3), 87. https://doi.org/10.3390/socsci10030087

International Crisis Group. (2017). How Indonesian Extremists Regroup (Asia Report No. 287).

Irfan, M., Almeshal, Z. A., and Anwar, M. (2023). Unleashing Transformative Potential of Artificial Intelligence (AI) in Countering Terrorism, Online Radicalisation, Extremism and Possible Recruitment. Global Strategic and Security Studies Review, 8(IV), 1–15. https://doi.org/10.31703/gsssr.2023%28VIII-IV%29.01

Ismed, D. M., and Ismed, S. H. (2021). Deradikalisasi Penanganan Terorisme Secara terintegrasi di Indonesia. Jurnal Penelitian Hukum Legalitas, 15(2), 59–64.

Karam, M., and Luck, M. (2023). Approaching AI: A Practical Guide to Understanding and Using AI for HCI. In Interacción. Springer. https://doi.org/10.1007/978-3-031-35891-3_32

Koehler, D. (2016). Understanding Deradicalization: Methods, Tools and Programs for Countering Violent Extremism. Routledge. https://doi.org/10.4324/9781315649566

Kruglanski, A. W., Gelfand, M. J., Bélanger, J. J., Sheveland, A., Hetiarachchi, M., and Gunaratna, R. K. (2014). The Psychology of Radicalization and Deradicalization: How Significance Quest Impacts Violent Extremism. Political Psychology, 35, 69–93. https://doi.org/10.1111/pops.12163

Land, M. K., and Hamilton, R. J. (2019). Beyond Takedown: Expanding the Tool Kit for Responding to Online Hate. In Propaganda and international criminal law (143–156). Routledge. https://doi.org/10.4324/9780429443695-7

Leap, B., and Young, J. (2021). Radicalization and Deradicalization. Oxford Research Encyclopedia of International Studies. https://doi.org/10.1093/acrefore/9780190846626.013.601

Lewis, J., and Marsden, S. (2021). Countering Violent Extremism Interventions: Contemporary Research. Centre for Research and Evidence on Security Threats.

Life After Hate. (2018). Intervention Archives – #WeCounterHate.

Lim, M. (2017). Freedom to Hate: Social Media, Algorithmic Enclaves, and the Rise of Tribal Nationalism in Indonesia. Critical Asian Studies, 49(3), 411–427. https://doi.org/10.1080/14672715.2017.1341188

Maas, M. M. (2023). Concepts in Advanced AI Governance: A Literature Review of Key Terms and Definitions. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4612473

Marcellino, W., Magnuson, M., Stickells, A., Boudreaux, B., Helmus, T. C., Geist, E., and Winkelman, Z. (2020). Counter-Radicalization Bot Research: Using Social Bots to Fight Violent Extremism (RR-2705). RAND Corporation. https://doi.org/10.7249/RR2705

McKendrick, K. (2019). Artificial Intelligence: Prediction and Counterterrorism. Chatham House.

Mohammed, I. (2020). Critical Reflections on De-Radicalisation in Indonesia. Otoritas: Jurnal Ilmu Pemerintahan, 10(1), 43–57. https://doi.org/10.26618/ojip.v10i1.3097

Montasari, R. (2024). Addressing Ethical, Legal, Technical, and Operational Challenges in Counterterrorism with Machine Learning: Recommendations and Strategies. In Cyberspace, Cyberterrorism and the International Security in the Fourth Industrial Revolution: Threats, Assessment and Responses (199–226). Springer. https://doi.org/10.1007/978-3-031-50454-9_10

Mutiara, R. (2025, July 17). The Use of Artificial Intelligence in Countering Online Radicalisation in Indonesia (RSIS Commentary No. CO25157). S. Rajaratnam School of International Studies.

Nedilko, B. (2024). Concept and Main Characteristics of Artificial Intelligence: Domestic and Foreign Approaches. Modern Scientific Journal. https://doi.org/10.36994/2786-9008-2024-5-2

Noor, A. M., and Fauziyah, N. (2022). Humanistic Deradicalization by Abraham Maslow Approach: Terrorism Counter-Measures Strategy in Lingkar Perdamaian Foundation. Tajdid: Jurnal Ilmu Ushuluddin, 21(1), 125–149. https://doi.org/10.21043/addin.v15i2.14352

Porta, D. D. (2018). Radicalization: A Relational Perspective. Annual Review of Political Science, 21, 461–474. https://doi.org/10.1146/annurev-polisci-042716-102314

Raharjo, A., Retnaningrum, D. H., Sugeng, E., Saefudin, Y., and Ismail, N. (2025). Radicalization and Counter-Radicalization on the Internet (Roles and Responsibilities of Stakeholders in Countering Cyber Terrorism). In E3S Web of Conferences (Vol. 609, Article 07003). EDP Sciences. https://doi.org/10.1051/e3sconf/202560907003

Schlegel, L. (2024). Preventing and Countering Extremism in Gaming Spaces. In Preventing and Countering Extremism in Gaming Spaces (Chapter 11). Routledge. https://doi.org/10.4324/9781003388371-11

Sholehuddin, S., Ahmad, G., and Zam, R. Z. (2024). Terrorism Deradicalization Management Based on Education on the Principles of Islamic Teaching. International Journal of Educational Narratives, 2(4). https://doi.org/10.70177/ijen.v2i4.1141

Shorty Awards. (2018). WeCounterHate – Shorty Social Good Award Entry.

Sipayung, A., Soleh, C., Rochmah, S., and Rozikin, M. (2023). Dynamics Implementation of De-Radicalism Policy to Prevent Terrorism in Indonesia: A Systematic Literature Review. Journal of Law and Sustainable Development, 11(9), e772. https://doi.org/10.55908/sdgs.v11i9.772

Suarda, I. G. W. (2016). A Literature Review on Indonesia’s Deradicalization Program for Terrorist Prisoners. Mimbar Hukum, 28(3), 526–543. https://doi.org/10.22146/jmh.16682

Sukabdi, Z. A. (2018). Psychological Rehabilitation for Ideology-Based Terrorism Offenders. In Deradicalisation and terrorist rehabilitation (95–116). Routledge. https://doi.org/10.4324/9780429469534-7

Sukabdi, Z. A. (2022). Treatment Procedures for Ideology-Based Terrorist Offenders in Indonesia. Kriminologija and Socijalna Integracija, 30(1), 1–25. https://doi.org/10.31299/ksi.30.1.1

Sukabdi, Z. A. (2025). Psikologi Terorisme [Psychology of terrorism]. Bumi Aksara.

Sumarwoto, S., Hr, M., and Khisni, A. (2020). The Concept of Deradicalization in an Effort to Prevent Terrorism in Indonesia. https://doi.org/10.25134/unifikasi.v7i1.2703

Syllaidopoulos, I., Ntalianis, K., and Salmon, I. (2025). A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions. IEEE Access, 13, 91740–91764. https://doi.org/10.1109/ACCESS.2025.3572348

Wahyuni, S., Syaripudin, M., Aglina, E. F., Zamhariri, Makmun, F., Achlami, Hidayat, M., and Fitri, E. (2025). Artificial Intelligence for Moderate Da’wah Communication: Science Perspective. KnE Social Sciences. https://doi.org/10.18502/kss.v10i14.19076

Weimann, G., Pack, A. T., Sulciner, R., Scheinin, J., Rapaport, G., and Diaz, D. (2024). Generating Terror: The Risks of Generative AI Exploitation. CTC Sentinel, 17(1), 17–24.

Windisch, S., Wiedlitzka, S., Olaghere, A., and Jenaway, E. (2022). Online Interventions for Reducing Hate Speech and Cyberhate: A Systematic Review. Campbell Systematic Reviews, 18(2), e1243. https://doi.org/10.1002/cl2.1243

Youvan, D. (2024). Artificial Intelligence in Correctional Facilities: Enhancing Rehabilitation and Supporting Reintegration. ResearchGate. https://doi.org/10.13140/RG.2.2.27649.67681

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Published

2025-12-15

How to Cite

Sukabdi, Z. A. (2025). AI-BASED DERADICALIZATION: OPPORTUNITIES, RISKS, AND CASE STUDIES. Journal of Digital Security and Forensics, 2(2), 121–136. https://doi.org/10.29121/digisecforensics.v2.i2.2025.63