A4 Refereed article in a conference publication

From Simple Sandbox Process to Regulatory Sandbox Framework : Serving the Dual Objectives of AI Regulation




AuthorsHeikkilä, Jukka; Lagstedt, Altti; Heikura, Seppo; Kaakkurivaara, Eeva; Dardykina, Anastasiia; de Chardin, Alice Teilhard

EditorsAndreja, Andreja; Kljajić Borštnar, Mirjana; Blatnik, Staša; Marolt, Marjeta; Bons, Roger W. H.; Smit, Koen; Glowatz, Matthias

Conference nameBled eConference

PublisherUniversity of Maribor Press

Publication year2025

JournalBled eConference

Book title 38th Bled eConference: Empowering Transformation: Shaping Digital Futures for All: Conference Proceedings

First page 643

Last page660

eISBN978-961-286-998-4

DOIhttps://doi.org/10.18690/um.fov.4.2025.40

Web address https://doi.org/10.18690/um.fov.4.2025.40

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/492329617


Abstract

In this paper, we build on a simplified process to evaluate AI systems compliance with AI Act. As AI Act’s risk-based regulatory measures simultaneously strive for providing innovative, but trustworthy AI systems to the market, we extend the process to an AI Regulatory Sandbox Framework (AIRSF), which is connected with the EU’s innovation ecosystem. The study builds on a design science approach combined with action research sandbox as a boundary object for multistakeholder sandbox development. We first analyse the options for regulating AI Systems.  In doing so, we explore the regulatory sandbox as a means aiming to remedy the known limitations of regulatory sandboxes, especially from the viewpoint for SMEs . We conclude by reflecting upon the findings during the sandbox development process.


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Last updated on 2025-10-06 at 11:48