In December 2023, the European Parliament provisionally agreed on the EU AI
Act. This unprecedented regulatory framework for AI systems lays out guidelines
to ensure the safety, legality, and trustworthiness of AI products. This paper
presents a methodology for interpreting the EU AI Act requirements for
high-risk AI systems by leveraging product quality models. We first propose an
extended product quality model for AI systems, incorporating attributes
relevant to the Act not covered by current quality models. We map the Act
requirements to relevant quality attributes with the goal of refining them into
measurable characteristics. We then propose a contract-based approach to derive
technical requirements at the stakeholder level. This facilitates the
development and assessment of AI systems that not only adhere to established
quality standards, but also comply with the regulatory requirements outlined in
the Act for high-risk (including safety-critical) AI systems. We demonstrate
the applicability of this methodology on an exemplary automotive supply chain
use case, where several stakeholders interact to achieve EU AI Act compliance.

该文章提出了一种方法，通过利用产品质量模型来解释欧盟 AI 法案对高风险 AI 系统的要求。该方法将法案要求与相关的质量属性进行映射，并提出了一种合同为基础的方法来从利益相关者层面推导技术要求，以确保 AI 系统既符合确定的质量标准，也符合法案对高风险 AI 系统的监管要求。在一个汽车供应链示例中，展示了该方法的适用性，其中多个利益相关者相互作用以实现欧盟 AI 法案的合规性。