OpenClaw logs can’t prove most policy violations, new study warns

Research posted to arXiv finds that agent violations are hard to prove from logs unless approvals are recorded in structured, machine-readable formats A new study posted to arXiv makes an uncomfortable point about autonomous AI agents. Most of their policy violations cannot be proven from logs alone. The exception is narrow. Violations become provable only when approvals are recorded in structured, machine-readable formats. For OpenClaw, the fast-growing open-source agent framework, that is a problem. Its default logs were not built with that kind of evidence in mind.

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