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AI Agents are Vulnerable to Radicalization
multi-agentbelief manipulationradicalization
2609.38296
Builder Relevance
1h ago70%
Abstract
The paper investigates how large language models can influence each other's beliefs, particularly focusing on radicalization through resonance and persuasion.
Reality Card
Core Claim
AI agents are susceptible to radicalization, especially when messages align with their existing beliefs, highlighting vulnerabilities in personalized AI and multi-agent systems.
Method / Result
Resonance produces consistently stronger radicalization effects than persuasion.
Limitations
The influence tactics and their effects on radicalization are not consistent across all metrics, raising concerns about reproducibility.
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