Delaram Golpayegani, Harshvardhan J. Pandit, Declan O'Sullivan, Dave Lewis · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31380 · open-access PDF
인공지능(AI)의 사용과 그 결과로 인한 피해가 점점 더 널리 퍼지면서 인공지능(AI)에 관한 글로벌 논쟁은 점점 더 위험에 대한 인식이 커지고 새로운 위험이 이전보다 더 자주 발생함에 따라 핵심적인 도전은 인공지능(AI) 위험을 효과적으로, 상호 작용할 수 있고 탐구할 수 있는 방식으로 표현, 문서화, 카탈로그하는 방법이다.
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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