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TAMS Conf 2026: LLMs Promote Radicalization via Engagement with Extremist Content and Communities

Description

This video presents new research on how large language models (LLMs) can unintentionally expose users to potentially radicalizing content. By testing two widely used public models, OpenAI GPT‑4o and Google Gemini, the study shows that even benign prompts about the Tradwives community can bypass safeguards, especially when roleplay or retrieval‑augmented generation (RAG) is involved. The findings suggest that, despite guardrails, LLMs may still generate harmful associations between everyday online communities and extremist narratives, including those linked to violent extremist organizations responsible for severe harm and human rights violations. The video highlights why understanding these risks is essential for researchers, policymakers, and tech companies working on online safety.

Related topic

New Technologies and the Online Dimension

Link

Watch the video

Language:

English

Date:

27/06/2026

Proposed by:

ELIAMEP

Source:

Cyber Threats Research Centre (CYTREC), 2026