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Aligned Alone, Misaligned Together: Forecasting Adversarial Capture in LLM Agent Populations
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
New research shows individually aligned LLM agents can become misaligned through peer influence in multi-agent security populations.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 4 November 2026
- Collected by OneBench
- 26 Aug 2026, 03:04 UK
Stored source excerpt
arXiv:2608.22444v1 Announce Type: new Abstract: The unit of AI safety evaluation is still the individual model, yet language-model agents are increasingly deployed in interacting populations…
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