Subject Roles in the EU AI Act: Mapping and Regulatory Implications
Nicola Fabiano
TL;DR
The paper analyzes the EU AI Act's operator framework defined in Article 3, mapping six actor roles and how obligations cascade through the supply chain. It employs definitional analysis, regulatory mapping, and synthesis with recital context to reveal role transformations under Article 25 and the information-flow architecture that underpins governance across the ecosystem. It critiques the umbrella 'operator' concept as potentially reducing clarity and proposes role-specific provisions and explicit coordination mechanisms to improve enforcement and accountability. The study highlights the Act's extraterritorial reach and staggered implementation, illustrating how risk-based obligations aim to balance innovation with fundamental rights in a complex, multi-actor AI landscape.
Abstract
The European Union's Artificial Intelligence Act (Regulation (EU) 2024/1689) establishes the world's first comprehensive regulatory framework for AI systems through a sophisticated ecosystem of interconnected subjects defined in Article 3. This paper provides a structured examination of the six main categories of actors - providers, deployers, authorized representatives, importers, distributors, and product manufacturers - collectively referred to as "operators" within the regulation. Through examination of these Article 3 definitions and their elaboration across the regulation's 113 articles, 180 recitals, and 13 annexes, we map the complete governance structure and analyze how the AI Act regulates these subjects. Our analysis reveals critical transformation mechanisms whereby subjects can assume different roles under specific conditions, particularly through Article 25 provisions ensuring accountability follows control. We identify how obligations cascade through the supply chain via mandatory information flows and cooperation requirements, creating a distributed yet coordinated governance system. The findings demonstrate how the regulation balances innovation with the protection of fundamental rights through risk-based obligations that scale with the capabilities and deployment contexts of AI systems, providing essential guidance for stakeholders implementing the AI Act's requirements.
