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Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation

2 upvotes · 20 JUL 2026 · Jasmine Brazilek, Maheep Chaudhary, Zoe Lu et al.

This paper creates a benchmark to test how AI systems respond when an authority figure tries to get an unwilling subordinate to complete a task, and it explores how different levels of authority affect the outcome. Practitioners might care because it helps them understand and manage the complex interactions between AI systems.

multi-agent systemsAI-to-AI managementagent escalationcontinual learningLLM benchmarks