Blueprints of Trust: AI System Cards for End to End Transparency and
  Governance
Authors: name: Huzaifa Sidhpurwala, name: Emily Fox, name: Garth Mollett, name: Florencio Cano Gabarda, name: Roman Zhukov

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.