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#artificial intelligence Preprint Sep 2026

Designing a Boundary Negotiating Artifact for Collaborative Socio-Technical Sense-Making in AI Regulatory Sandboxes

A Boundary Negotiating Artifact is designed as a way to mediate meaning in AIRSes, providing an interface for the different stakeholders to collaborate in AI assessment and positioning it as technical backbone in established AIRS frameworks, structuring the collaborative sense-making of the involved stakeholders.

Idoia Landa-Oregi, Tom Deckenbrunnen, Alessio Buscemi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MARLA: A Conceptual Scaffold for Regulatory Learning under the EU AI Act

This paper proposes MARLA (Map, Assess, Report, Learn, Adapt), a conceptual scaffold organising regulatory learning as a five-stage cycle centred on the implementation of legal requirements into socio-technical practices situated at the Local, National and European levels of the AI Act's governance architecture.

Alessio Buscemi, Tom Deckenbrunnen, Imane Hmiddou et al. · 0 citations
#artificial intelligence Preprint Sep 2025

Operationalising AI Regulatory Sandboxes: Activities, Requirements, and Technical Assessment under the EU AI Act

The Sandbox Configurator is outlined, an open-source framework intended to instantiate AITS environments from 15 infrastructural and governance requirements that an AITS must satisfy, each linked to the activities it supports and, for high-risk systems, to the provider obligations set out in Articles 9-15 of the AI Act...

A. Buscemi, Thibault Simonetto, D. Pagani et al. · 1 citation

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