Design of a Quality Management System based on the EU Artificial Intelligence Act
This addresses the problem of regulatory compliance for providers and deployers of high-risk AI systems, though it is incremental as it builds on existing theoretical concepts with a practical implementation.
The paper tackles the lack of practical tools for implementing the EU AI Act's quality management system (QMS) requirements for high-risk AI systems by introducing a new design concept and prototype as a microservice web application, which was evaluated through qualitative assessments, performance analysis, and expert feedback.
The EU AI Act mandates that providers and deployers of high-risk AI systems establish a quality management system (QMS). Among other criteria, a QMS shall help verify and document the AI system design and quality and monitor the proper implementation of all high-risk AI system requirements. Current research rarely explores practical solutions for implementing the EU AI Act. Instead, it tends to focus on theoretical concepts. As a result, more attention must be paid to tools that help humans actively check and document AI systems and orchestrate the implementation of all high-risk AI system requirements. Therefore, this paper introduces a new design concept and prototype for a QMS as a microservice Software as a Service web application. It connects directly to the AI system for verification and documentation and enables the orchestration and integration of various sub-services, which can be individually designed, each tailored to specific high-risk AI system requirements. The first version of the prototype connects to the Phi-3-mini-128k-instruct LLM as an example of an AI system and integrates a risk management system and a data management system. The prototype is evaluated through a qualitative assessment of the implemented requirements, a GPU memory and performance analysis, and an evaluation with IT, AI, and legal experts.