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Agent Safety Should Be a Runtime Contract

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By Yi Han, Jusheng zhang, Albus W. Ng
| huggingface.co
Published on Aug 11 · Submitted by Wenhao Wang on Aug 13 Abstract Agent safety should be enforced at runtime through preventive controls and verifiable evidence rather than relying solely on training-time alignment methods. The dominant paradigm treats AI safety as a property to be instilled during model training via RLHF, DPO, or Constitutional AI. We argue this is structurally insufficient for autonomous agents that execute code, mutate files, send messages, and modify databases.
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