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Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety

arXiv cs.AI · 2026-07-09 Cached

This paper introduces institutional red-teaming, an evaluation methodology for testing deployment rules in multi-agent AI systems, showing that deployment rules causally affect safety outcomes and that identity salience can drive targeted elimination in agent populations.

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