Delaram Golpayegani, Harshvardhan J. Pandit, Declan O'Sullivan, Dave Lewis · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31380 · open-access PDF
随着人工智能的使用,并因此造成的伤害变得越来越普遍,环绕人工智能的全球辩论越来越意识到风险。随着新风险的出现比以往任何时候都更频繁,一个关键的挑战是如何以有效、可互操作和可查的方式代表、文档和目录人工智能风险。此外,欧盟(EU)人工智能法案对“高风险”人工智能系统的要求来管理和记录风险创造了开放和互操作的工具,方法和标准的需求,在不断变化的环境中促进人工智能风险管理。
Machine translation (Meta M2M100); the English original follows.
As the use of AI, and consequently its harms, becomes more prevalent, the global discourse around AI has become increasingly risk-aware. With new risks emerging more frequently than ever, a key challenge is how to represent, document, and catalogue AI risks in an effective, interoperable, and queryable manner. Additionally, the European Union (EU) AI Act's requirements for "high-risk" AI systems to manage and document the risks creates the need for open and interoperable tools, methods, and standards that facilitate AI risk management in an ever-changing environment. In this paper, we present
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