信任蓝图：端到端透明与治理的AI系统卡片

摘要

本文介绍了危险感知系统卡片（Hazard-Aware System Card, HASC），这是一种旨在提升人工智能系统开发与部署过程中透明度和责任性的创新框架。HASC在现有模型卡片和系统卡片概念的基础上，整合了AI系统安全与防护态势的全面动态记录。该框架提出了一套标准化标识系统，包括新颖的AI安全危险（AI Safety Hazard, ASH）ID，以补充如CVE等现有安全标识，确保对已修复缺陷的清晰一致传达。通过提供一个单一、易于访问的真实信息源，HASC赋能开发者和利益相关者在AI系统全生命周期内做出更为明智的安全决策。最后，我们还将提出的AI系统卡片与ISO/IEC 42001:2023标准进行了对比，并探讨了二者如何相辅相成，共同为AI系统提供更高的透明度和责任性。

English

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.

信任蓝图：端到端透明与治理的AI系统卡片

Blueprints of Trust: AI System Cards for End to End Transparency and Governance

摘要

Support