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Exploring the boundaries of AI regulatory sandboxes under the AI Act: Flexibility and real-world testing

par Genicot, Nathan ;Moraes, Thiago Guimaraes
Référence Cambridge Forum on AI: Law and Governance, 1, page (1-17), e36
Publication Publié, 2025-12-10

Article révisé par les pairs

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Résumé :

The Artificial Intelligence (AI) Act introduces AI regulatory sandboxes and testing in real-world conditions as experimentation tools to support innovation in AI development. While regulatory sandboxes have been widely adopted across various sectors, their precise function and scope under the AI Act remain complex and multifaceted. This paper examines the legal framework governing AI regulatory sandboxes, analysing the degree of regulatory flexibility they provide and how they interact with other experimentation tools established by the AI Act. In particular, the study assesses whether these instruments enable AI systems to be tested under reduced regulatory constraints or whether they primarily serve as forums for regulatory dialogue. It then explores the differences between AI regulatory sandboxes and the testing in real-world conditions mechanism, highlighting how sandboxes focus on legal guidance, while testing in real-world conditions aims to remove legal barriers and facilitate market entry. The analysis also identifies key interpretative challenges, including the interplay between Article 57 (AI regulatory sandboxes) and Article 60 (testing in real-world conditions), the compliance requirements for each mechanism, and the role of regulatory authorities. The paper concludes that further clarification from the European Commission is necessary to address inconsistencies in the AI Act’s provisions, ensuring effective implementation of AI regulatory sandboxes and testing in real-world conditions.