AI Agents at Risk: How They Can Be Radicalized
This story is from 2026-10-22. It is preserved in the archive; the latest stories are on the live feed.
Understanding the Risk A study from arXiv found that when two AI agents simulate conversations, the target LLM can be manipulated to adopt extreme viewpoints. This highlights a previously unexplored vulnerability in how AI systems interact with each other. Implications for Builders Builders should…
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- 2026-10-22 15:00 · DEV Community — AI
AI Agents at Risk: How They Can Be Radicalized