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The Transparency Imperative: The Need for Model Documentation for Engaging with Public Policy following the EU AI Act
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). (Sustainable Digitalisation Research Centre, Malmö University, Sweden.)ORCID iD: 0009-0004-1712-5181
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). (Sustainable Digitalisation Research Centre, Malmö University, Sweden.)ORCID iD: 0000-0002-8209-0921
Department of Computer Science, Norwegian University of Science and Technology, Norway.
Institute for Futures Studies, Sweden.ORCID iD: 0000-0001-9489-1681
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2025 (English)In: Proc. of the 2025 Annual Modeling and Simulation Conference (ANNSIM’25) / [ed] J.L. Risco-Martín, G. Rabadi, D. Cetinkaya, R. Cárdenas, S. Ferrero-Losada, and A. Bany Abdelnaby., 2025Conference paper, Published paper (Refereed)
Abstract [en]

The application of Agent-Based Modeling and Simulation (ABMS) has few established guidelines and oftensuffers from insufficient model documentation. We assess the prevalence of best practices associated withdifferent types of model documentation in light of the European Union’s AI Act (AI Act). Our analysisreveals that best practices are often implemented together but ultimately reinforce the pre-existing viewthat ABMS frequently lacks adequate model documentation. This deficiency hinders evaluability, makingit difficult to conduct quality assurance prior to application and meaningful evaluation post application.We propose a framework that highlights the importance of different types of model documentation and theattributes they enable, which are valuable to both modelers and policy actors, albeit for different reasons.The AI Act provides a valuable opportunity to improve model documentation. By proactively developingand establishing guidelines, we can stay ahead of emerging legal requirements.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Documentation, Policy-modeling, Transparency, Responsible ABMS, EU AI Act.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-76277OAI: oai:DiVA.org:mau-76277DiVA, id: diva2:1962905
Conference
Annual Modeling and Simulation Conference (ANNSIM’25), 26 - 29 May, 2025, Universidad Complutense de Madrid, Madrid, Spain.
Available from: 2025-06-02 Created: 2025-06-02 Last updated: 2025-06-05

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Belfrage, MichaelLorig, FabianTucker, JasonDavidsson, Paul

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