EN
Abstract
Early Detection of Lone-Wolf Radicalization: The Role of Conversational Artificial Intelligence
This article reveals the potential of conversational artificial intelligence as an early-warning tool in detecting lone-wolf radicalization. Drawing on psychological approaches to radicalization, particularly Moghaddam's "staircase to terrorism" and Horgan's model of terrorist engagement, the study analyzes how dialogue-based AI systems might identify behavioral and linguistic cues of extremist trajectories. The research also evaluates the ethical and governance implications of integrating AI into a counter-radicalization framework concerning the EU AI Act and UNESCO's Recommendation on AI Ethics. The paper claims that the responsible deployment of AI can complement traditional prevention mechanisms by enhancing situational awareness and early intervention capacities. Ultimately, the study contributes to bridging the gap between digital ethics and security studies by offering an agenda for ethically aligned, preventive AI governance.
TR
Öz
Yalnız Aktör Radikalleşmesinin Erken Tespiti: Sohbet Tabanlı Yapay Zekanın Rolü
Bu makale, sohbet tabanlı yapay zekânın yalnız aktör radikalleşmesini erken seviyede tespit edebilecek bir uyarı aracı olarak kullanılma ihtimalini incelemektedir. Radikalleşmenin psikolojik kuramlarından Moghaddam'ın "terörizme giden merdiven modeli" ve Horgan'ın katılım süreci yaklaşımı çerçevesinde, sohbet tabanlı yapay zeka sistemlerinin aşırı eğilimlerle bağlantılı dilsel ve davranışsal göstergeleri nasıl algılayabileceği analiz edilmektedir. Ayrıca, bu teknolojilerin radikalleşmeyle mücadele modellerine entegre edilmesinin etik ve yönetişim boyutları, AB Yapay Zekâ Yasası ve UNESCO Yapay Zekâ Etiği Tavsiyesi kapsamında değerlendirilmektedir. Etik gözetim altında geliştirilen yapay zeka uygulamalarının durumsal farkındalığı artırarak önleyici politika araçlarını güçlendirebileceği çalışmanın hipotezidir. Çalışma, dijital etik ile güvenlik çalışmaları arasındaki boşluğu doldurmayı amaçlayarak etik uyumlu bir yapay zeka yönetişimi yaklaşımını önermektedir.
Kaynakça 33
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