  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.
