arXiv:2606.12429cs.CYcs.AI2026-06被引 1

Meta发布新型大模型Muse Spark,通过多重安全评估确保其在高风险领域的可控性。

Muse Spark Safety & Preparedness Report

论文配图:Muse Spark Safety & Preparedness Report
图 1 · 摘自论文原文
  • 针对化学、生物和失控风险设计多层安全防护机制
  • 未加防护时化学与生物能力属高风险等级,经优化后拒绝有害请求表现顶尖
  • 适用于需要高安全标准的AI应用部署,如企业级智能助手

Muse Spark是Meta最新开发的大语言模型。本报告首先展示在Meta先进人工智能扩展框架下对灾难性风险领域进行的评估结果,以及支持发布决策的证据。随后讨论了更广泛的内容安全与行为特征,这些虽不完全属于框架管辖范畴,但关乎整体安全性。针对化学品与生物、网络安全及失控风险的准备度评估表明,在Meta AI中部署Muse Spark所残留的风险处于可接受水平。我们开展了覆盖双重用途与高风险能力的广泛评估,发现未采取缓解措施前,化学与生物能力已接近“高风险”级别。现已实施多层次缓解措施,Muse Spark在化学与生物学危险流程相关基准测试中展现出业界领先的拒绝能力。因此,Muse Spark将作为Meta AI的基础模型正式发布。

原文摘要 · Abstract (English)

Muse Spark is the latest large language model developed by Meta. In this report, we first present evaluations for catastrophic risk domains under Meta's Advanced AI Scaling Framework, along with the evidence that informed our launch decision. We then discuss additional considerations, such as Muse Spark's broader content safety and behavioral profile, that are relevant to overall safety but fall outside the catastrophic risk domains governed by the Framework. Our preparedness results covering Chemical and Biological, Cybersecurity, and Loss of Control risks assess Muse Spark's deployment within Meta AI as presenting acceptable levels of residual risks under our Advanced AI Scaling Framework. We conducted a broad set of evaluations targeting dual-use and high-risk capabilities across these catastrophic risk domains. Those evaluations identified elevated risks prior to mitigations, with Chemical and Biological capabilities assessed as likely reaching the "high risk" category under the Advanced AI Scaling Framework before safeguards were applied. We have implemented a multi-layered set of mitigations that address the identified risks, and Muse Spark demonstrates state-of-the-art refusal across a range of benchmarks related to hazardous workflows in chemistry and biology. We therefore release Muse Spark as the underlying model of Meta AI.

大模型安全风险评估AI治理Meta

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