Author

Tom Deckenbrunnen

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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 Conference Open access Jan 2026

Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning Under Legal Uncertainty

It is argued that legal uncertainty cannot be fully reduced ex ante and that, within reasonable bounds, it is also necessary for regulatory learning because it creates the space in which boundary negotiation over socio-technical meaning can occur.

Tom Deckenbrunnen, Alessio Buscemi, M. Almada et al. · Proceedings of the AAAI/ACM... · 4 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