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.
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