Delaram Golpayegani, Harshvardhan J. Pandit, Declan O'Sullivan, Dave Lewis · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31380 · open-access PDF
Mit neuen Risiken, die häufiger als je zuvor auftauchen, besteht eine Schlüssel Herausforderung darin, wie KI-Risiken effizient, interoperabel und nachvollziehbar dargestellt, dokumentiert und katalogisiert werden können.Darüber hinaus erfordern die Anforderungen des EU-Gesetzes über KI-Systeme mit hohem Risiko, um die Risiken zu verwalten und zu dokumentieren, offene und interoperable Tools, Methoden und Standards, die das Risikomanagement von KI in einem sich ständig verändernden Umfeld erleichtern.
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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