@inproceedings{0c50dfed99ba44f5a67c964cb4e3ab7b,
title = "Design of a Quality Management System Based on the EU AI Act",
abstract = "The EU AI Act requires providers of high-risk AI systems to establish a Quality Management System (QMS) to monitor and document the AI system{\textquoteright}s design, quality, and risk. This paper introduces a new design concept for a QMS as a SaaS web application and demonstrates its feasibility with an implemented prototype. It connects directly to the AI system for verification and documentation and enables the orchestration and integration of various sub-services, each tailored to specific EU AI Act requirements. The prototype connects to the Phi-3-mini-128kinstruct LLM as an example AI system and includes a risk and a data management sub-service. The prototype is evaluated through an assessment of implemented requirements and feedback from IT, AI, and legal experts.",
keywords = "AI Compliance Management, EU AI Act, Quality Management System",
author = "Henryk Mustroph and Stefanie Rinderle-Ma",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 37th Annual Conference on Legal Knowledge and Information Systems, JURIX 2024 ; Conference date: 11-12-2024 Through 13-12-2024",
year = "2024",
doi = "10.3233/FAIA241261",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "314--320",
editor = "Jaromir Savelka and Jakub Harasta and Tereza Novotna and Jakub Misek",
booktitle = "Legal Knowledge and Information Systems - JURIX 2024",
}