Pioneering Research in and for AI Policy

Building interdisciplinary and cross-sectorial bridges, developing the tools to understand and govern from a human-centered perspective.

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Image: Mattias Pettersson
Image: Viktoria Movchan

The AI Policy Lab at Umeå University is dedicated to conducting pioneering, fundamental research in the field of artificial intelligence that transcends traditional boundaries.


Our focus is to develop and implement innovative methods and engage in diverse activities that facilitate knowledge exchange.
Our approach is to be swift-footed in responding to immediate challenges within AI Policy, while simultaneously engaging in critical analysis and thoughtful reflection on long-term directions and implications.

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Rethinking the Digital Omnibus’ Impact on the EU AI Act: Simplification or Dilution? 

Rachele Carli (AI Policy Lab, Department of Computing Science, Umeå University, Sweden), Tatjana Titareva (AI Policy Lab, Department of Computing Science, Umeå University, Sweden), Virginia Dignum (AI Policy Lab, Department of Computing Science, Umeå University, Sweden)
Introduction The adoption of the European Union AI Act (hereafter AI Act) marks a milestone in the union’s ambition to shape trustworthy, human-centric artificial intelligence (AI). It reflects an effort to ground innovation in fundamental human rights – an approach that has positioned…

AI first to purpose first: Rethinking Europe’s AI strategy

Virginia Dignum (AI Policy Lab, Department of Computing Science, Umeå University, Sweden), Rachele Carli (AI Policy Lab, Department of Computing Science, Umeå University, Sweden), Petter Ericson (AI Policy Lab, Department of Computing Science, Umeå University, Sweden), Tatjana Titareva (AI Policy Lab, Department of Computing Science, Umeå University, Sweden), Jason Tucker (Institute for Futures Studies, Sweden and AI Policy Lab, Department of Computing Science, Umeå University, Sweden)
Abstract This paper examines the European Commission ‘AI First’ strategy, arguing that it places acceleration and economic competitiveness above democratic values, societal benefit, and human-centric innovation. While substantial investment in…

Policy gap: AI and the determinants of public health

There is growing interest in how artificial intelligence (AI) can be applied in public health – from individual-level interventions such as diagnosis, treatment, and patient follow-up in healthcare, to broader…
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