Researchers introduced ScrapeBench, described as the first agentic benchmark for empirically evaluating whether AI agents comply with legal requirements when scraping websites. The benchmark targets AI agents deployed on the open web that are increasingly capable of actions that may breach contractual provisions and violate computer security laws. The work is presented as a paper measuring agent behavior against website terms rather than a released tool.
AI agents deployed on the open web are becoming more capable of performing actions that may breach contractual provisions and violate computer security laws. In this paper, we introduce ScrapeBench, the first agentic benchmark for empirically evaluating the legal compliance of AI agents with website
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