ADMITBench: A Safety-Governed Reference Framework for Evaluating the Admissibility of Industrial LLM Advisories

AI 中文解读

ADMITBench来了！这个新框架专门给工业AI当"安全考官"，确保AI给工厂提的建议靠谱。以前AI建议能不能用，全靠人拍脑袋，现在有了统一标准：AI说的有没有依据、合不合规、会不会出事，都得过三关。最妙的是，这套标准还能按不同工厂量身定制，就像给每个厂子配了专属安全手册。不过别急着让AI上生产线，这个版本只是给研究人员做测试用的，真要让AI动手干活还得等更成熟的版本。对普通人来说，这意味着以后工厂里的AI会更"懂事"，不会乱出主意，我们用的产品安全系数也更高。虽然现在影响还不明显，但这项技术为AI在工业领域的大规模应用铺平了道路，未来工厂更智能、更安全，我们也能少操心质量问题。

This white paper presents ADMITBench, a reference framework for evaluating industrial LLM advisories at the level of the proposed action. The framework implements a versioned, safety-governed evaluation contract that checks whether a recommendation is supported by the available evidence, permitted under the stated authority and procedure, and acceptable under the plant-specific consequence checks encoded in the selected evaluation profile. In this report, \emph{safety-governed} means that eligibility is determined through explicit, non-compensatory checks derived from a versioned plant profile; it does not mean that the evaluator, model, or plant has been safety-certified. Release 0.1.0 is a public reference implementation for technical and research evaluation, not an authorisation for physical execution.