Delaram Golpayegani, Harshvardhan J. Pandit, Declan O'Sullivan, Dave Lewis · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31380 · open-access PDF
AIの使用とその損害がより普及するにつれて、AIに関する世界的な議論はますますリスク意識を高めています。新たなリスクが今まで以上に頻繁に出現するにつれて、重要な課題は、AIリスクを効果的で、相互運用可能で、可視的に表記し、カタログする方法です。さらに、リスクを管理し、文書化する「高リスク」AIシステムに対する欧州連合(EU)AI法の要件は、常に変化する環境におけるAIリスク管理を促進するオープンで相互運用可能なツール、方法、標準の必要性を生み出します。
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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