Navigating the EU AI Act Maze using a Decision-Tree Approach
Hilmy Hanif,
Jorge Constantino,
Marie-Therese Sekwenz
et al.
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, imposing different degrees of compliance obligations to users and providers of AI systems. 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 these shortcomings, we propose a Decision-Tree-based framework aimed at increasing … Show more
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