Measuring Harmfulness of Computer-Using Agents
New benchmark moves beyond chatbot safety tests to measure real-world harm potential of autonomous computer-using AI agents—relevant as enterprises pilot agentic workflows.
Summary written by editorial AI · Source link below
arXiv:2508.00935v3 Announce Type: replace Abstract: Computer-using agents (CUAs), which can autonomously control computers to perform multi-step actions, might pose significant safety risks if misused. However, existing benchmarks mainly evaluate LMs in chatbots or simple tool use. To more comprehensively evaluate CUAs' misuse risks, we introduce a new benchmark: CUAHarm. CUAHarm consists of 104 expert-written realistic misuse risks, such as disabling firewalls, leaking data, or installing back
Editorial Analysis
As enterprises pilot agentic AI, a rigorous harm-measurement framework helps quantify risks that existing chatbot-centric safety evaluations miss entirely.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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