2026-05-07 コペンハーゲン大学（UCPH）
Photo: Saradasish Pradhan, Unsplash
＜関連情報＞
- https://news.ku.dk/all_news/2026/05/artificial-intelligence-may-accelerate-the-path-to-radicalisation/
- https://journals.sagepub.com/doi/10.1177/10888683261430089?int.sj-abstract.similar-articles.2
知能システム、脆弱な精神：AI時代の暴力への過激化に関する枠組み Intelligent Systems, Vulnerable Minds: A Framework for Radicalization to Violence in the Age of AI
Jonas R. Kunst, Milan Obaidi, […], and Daniel T. Schroeder
Personality and Social Psychology Review Published:March 23, 2026
DOI:https://doi.org/10.1177/10888683261430089
Abstract
Academic Abstract
Advances in AI require a revision of the psychological and socio-technical dynamics by which individuals are radicalized to embrace violent extremism. This review synthesizes process models of radicalization with research on social and personality risk factors, AI, and psychological mechanisms to propose a four-stage framework mapping the AI architecture of radicalization: (1) Exposure, where recommender systems and virality features create initial attraction to extreme content; (2) Reinforcement, where filter bubbles and group recommendations leverage biases to strengthen extremist beliefs and create echo chambers; (3) Group Integration, where ideologically homogenous clusters, AI bot swarms and companions foster group belonging and readiness for action; cumulatively resulting in (4) Violent Extremist Action. We examine how established social, cognitive, personality, and contextual vulnerability factors heighten psychological risk in the AI-driven radicalization process, as well as the emerging role of generative AI. We conclude by outlining a stage-based framework for governance and future research.
Public Abstract
AI-driven algorithms designed to maximize engagement on social media, compounded by generative AI, can unintentionally set the stage for radicalization. It begins with Exposure, where algorithms push users toward extreme content because it captures attention. Next, during Reinforcement, algorithms feed users personalized content while AI swarms can create a synthetic consensus that reinforces emerging biases, normalizes extremity, and insulates users from alternative views. Third, during Group Integration, individuals are absorbed into extremist networks, reinforced by human peers, AI companions, and bot swarms that validate radical beliefs and deepen identity ties. By exploiting psychological needs for belonging and certainty, this stage becomes particularly pernicious, potentially opening the door for violence. We propose policy measures that can reduce radicalization at each stage.
