解析欧盟AI法案中鲁棒性与网络安全的法律挑战
Robustness and Cybersecurity in the EU Artificial Intelligence Act
- 分析高风险AI与通用AI模型的法律条款缺陷
- 指出鲁棒性需应对性能中断的韧性要求
- 推动法律术语与机器学习研究的对接
欧盟人工智能法案（AIA）为不同类型的AI系统设定了不同的法律原则。尽管已有研究澄清部分原则，但对鲁棒性和网络安全的关注仍不足。本文旨在填补这一空白，识别高风险AI系统（第15条AIA）及通用AI模型（第55条AIA）相关条款中的法律挑战与缺陷。研究表明，鲁棒性与网络安全要求系统具备抵御性能中断的韧性。同时，我们评估了近期机器学习文献进展对这些条款实施可能带来的挑战。本分析有助于欧洲委员会制定统一标准、指南，以及依据第15(2)条AIA发展基准与度量方法。最终目标是弥合法律术语与机器学习研究之间的差距，促进研究与实践的更好协同。
原文摘要 · Abstract (English)
The EU Artificial Intelligence Act (AIA) establishes different legal principles for different types of AI systems. While prior work has sought to clarify some of these principles, little attention has been paid to robustness and cybersecurity. This paper aims to fill this gap. We identify legal challenges and shortcomings in provisions related to robustness and cybersecurity for high-risk AI systems(Art. 15 AIA) and general-purpose AI models (Art. 55 AIA). We show that robustness and cybersecurity demand resilience against performance disruptions. Furthermore, we assess potential challenges in implementing these provisions in light of recent advancements in the machine learning (ML) literature. Our analysis informs efforts to develop harmonized standards, guidelines by the European Commission, as well as benchmarks and measurement methodologies under Art. 15(2) AIA. With this, we seek to bridge the gap between legal terminology and ML research, fostering a better alignment between research and implementation efforts.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。