将信息安全与AI管理融合,助力德国合规欧盟AI法案
Interplay of ISMS and AIMS in context of the EU AI Act
- 用现有信息安全体系+AI专项模块,实现AI风险管控
- 提出4个新AI模块,纳入德国基础防护框架
- 适合政策制定者和企业合规团队参考
欧盟《人工智能法案》(AIA)要求高风险AI系统实施风险管理体系(RMS)与质量管理体(QMS)。ISO/IEC 42001为满足这些要求提供基础,但未覆盖所有欧盟特定规定。为加强德国对AIA的落地,联邦信息安全局(BSI)可引入国家标准BSI 200-5,该标准整合了现有ISMS规范(如ISO/IEC 27001)并明确AIA要求。本文分析信息安全管理系统(ISMS)与AI管理系统(AIMS)之间的接口,证明将既有ISMS控制措施结合专有AI扩展,是有效落实AIA第15条的策略。论文提出4个新增AI模块,建议纳入BSI IT Grundschutz框架,全面保障AI系统安全。同时,提出适配BSI认证体系的方法,以持续培养安全AI应用专业能力。最后,探讨通过本土化ISO/IEC 42001,弥合国际标准与AIA具体要求间的差距,形成协同效应,提升德国人工智能产业竞争力。
原文摘要 · Abstract (English)
The EU AI Act (AIA) mandates the implementation of a risk management system (RMS) and a quality management system (QMS) for high-risk AI systems. The ISO/IEC 42001 standard provides a foundation for fulfilling these requirements but does not cover all EU-specific regulatory stipulations. To enhance the implementation of the AIA in Germany, the Federal Office for Information Security (BSI) could introduce the national standard BSI 200-5, which specifies AIA requirements and integrates existing ISMS standards, such as ISO/IEC 27001. This paper examines the interfaces between an information security management system (ISMS) and an AI management system (AIMS), demonstrating that incorporating existing ISMS controls with specific AI extensions presents an effective strategy for complying with Article 15 of the AIA. Four new AI modules are introduced, proposed for inclusion in the BSI IT Grundschutz framework to comprehensively ensure the security of AI systems. Additionally, an approach for adapting BSI's qualification and certification systems is outlined to ensure that expertise in secure AI handling is continuously developed. Finally, the paper discusses how the BSI could bridge international standards and the specific requirements of the AIA through the nationalization of ISO/IEC 42001, creating synergies and bolstering the competitiveness of the German AI landscape.
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