Zora A. Sukabdi
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. This study aims to examine the prospects, risks, and trajectories of AI-based deradicalization, identifying implementation strategies through a literature analysis and interviews with specialists and past offenders. Findings suggest that while AI holds potential for effective deradicalization efforts, its success heavily relies on ethical and responsible application, necessitating interdisciplinary collaboration. Ultimately, this research aims to assist practitioners and governments in executing AI-driven deradicalization initiatives.
@article{5ea5945c-e333-440e-a15f-c9fd6bd0d792,
title={AI Based Deradicalization in Indonesia},
author={Zora A. Sukabdi},
year={2026},
language={en}
}TY - JOUR TI - AI Based Deradicalization in Indonesia AU - Zora A. Sukabdi PY - 2026 LA - en ER -
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