Tough Decisions? Supporting System Classification According to the AI Act

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Abstract

The AI Act represents a significant legislative effort by the European Union to govern the use of AI systems according to different risk-related classes, linking varying degrees of compliance obligations to the system's classification. However, it is often critiqued due to the lack of general public comprehension and effectiveness regarding the classification of AI systems to the corresponding risk classes. To mitigate those shortcomings, we propose a Decision-Tree-based framework aimed at increasing robustness, legal compliance and classification clarity with the Regulation. Quantitative evaluation shows that our framework is especially useful to individuals without a legal background, allowing them to improve considerably the accuracy and significantly reduce the time of case classification.

Original languageEnglish
Title of host publicationLegal Knowledge and Information Systems - JURIX 2023
Subtitle of host publication36th Annual Conference
EditorsGiovanni Sileno, Jerry Spanakis, Gijs van Dijck
PublisherIOS Press
Pages353-358
Number of pages6
ISBN (Electronic)9781643684727
DOIs
Publication statusPublished - 2023
Event36th International Conference on Legal Knowledge and Information Systems, JURIX 2023 - Maastricht, Netherlands
Duration: 18 Dec 202320 Dec 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume379
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference36th International Conference on Legal Knowledge and Information Systems, JURIX 2023
Country/TerritoryNetherlands
CityMaastricht
Period18/12/2320/12/23

Keywords

  • AI Act
  • AIA
  • Artificial Intelligence
  • Compliance
  • Risk Classification

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