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  4. Navigating the EU AI Act: A Methodological Approach to Compliance for Safety-critical Products
 
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2024
Conference Paper
Title

Navigating the EU AI Act: A Methodological Approach to Compliance for Safety-critical Products

Abstract
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. Our methodology facilitates the development and assessment of Artificial Intelligence (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.
Author(s)
Kelly, Jessica
Fraunhofer-Institut für Kognitive Systeme IKS  
Zafar, Shanza Ali
Fraunhofer-Institut für Kognitive Systeme IKS  
Heidemann, Lena  
Fraunhofer-Institut für Kognitive Systeme IKS  
Zacchi, Joao-Vitor  
Fraunhofer-Institut für Kognitive Systeme IKS  
Espinoza, Delfina
Fraunhofer-Institut für Kognitive Systeme IKS  
Mata, Núria
Fraunhofer-Institut für Kognitive Systeme IKS  
Mainwork
IEEE Conference on Artificial Intelligence, CAI 2024. Proceedings  
Project(s)
IKS-Aufbauprojekt  
Funder
Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie  
Conference
Conference on Artificial Intelligence 2024  
Open Access
DOI
10.1109/CAI59869.2024.00179
10.24406/publica-3502
File(s)
Kelly_NavigatingTheEUAIAct_2406_CAI_acceptedversion.pdf (646.82 KB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Kognitive Systeme IKS  
Fraunhofer Group
Fraunhofer-Verbund IUK-Technologie  
Keyword(s)
  • EU AI Act

  • quality attribute

  • artificial intelligence

  • AI

  • AI attribute

  • regulation

  • regulatory framework

  • safety-critical

  • high-risk

  • compliance

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