OpenART: Evaluating Long-Horizon AI Agent Safety via Evolving Environments
Yunhao Chen · hf · 2026-08-13
OpenART introduces a scalable red-teaming arena designed to evaluate long-horizon AI agent safety through evolving stateful environments.
- Core Mechanism: Features the EMHA attack policy to actively probe and exploit agent vulnerabilities during complex task execution.
- Key Finding: Exposes that agent failure rates increase significantly as task complexity and time horizons grow.
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