cs.AI updates on arXiv.org 09月26日
HASC:AI系统透明性与责任性增强框架
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本文介绍了一种名为HASC的新型框架,旨在提升AI系统开发和部署过程中的透明性与责任感。该框架通过整合AI系统的安全与安全态势的全面动态记录,增强了模型卡和系统卡的概念。它提出了一个包括新颖的AI安全危害(ASH)ID在内的标准化标识系统,以补充现有的安全标识如CVEs,实现缺陷的清晰一致沟通。HASC通过提供一个单一、易访问的真相来源,使开发者及利益相关者能够更明智地做出关于AI系统安全的决策。同时,本文还比较了所提出的AI系统卡与ISO/IEC 42001:2023标准,并讨论了它们如何相互补充,以提供更大程度的AI系统透明性与责任感。

arXiv:2509.20394v1 Announce Type: cross Abstract: This paper introduces the Hazard-Aware System Card (HASC), a novel framework designed to enhance transparency and accountability in the development and deployment of AI systems. The HASC builds upon existing model card and system card concepts by integrating a comprehensive, dynamic record of an AI system's security and safety posture. The framework proposes a standardized system of identifiers, including a novel AI Safety Hazard (ASH) ID, to complement existing security identifiers like CVEs, allowing for clear and consistent communication of fixed flaws. By providing a single, accessible source of truth, the HASC empowers developers and stakeholders to make more informed decisions about AI system safety throughout its lifecycle. Ultimately, we also compare our proposed AI system cards with the ISO/IEC 42001:2023 standard and discuss how they can be used to complement each other, providing greater transparency and accountability for AI systems.

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AI安全 透明性 责任感 系统框架 ISO/IEC标准
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