Ett konkurrenskraftigt Norden

With a special focus on digital literacy and gender equality, GAIYA investigates how students and teachers in Denmark, Sweden, and Norway use and experience generative AI tools.

DARES investigates the relationship between energy systems, data and AI, focusing on the challenges of data quality for responsible AI in the green transition.

CAI-BLUE investigates how collaborative AI agents – adaptive, interactive systems that work alongside human teams – can support communication, learning, and shared understanding in blue-collar workplaces.

This project examines how vulnerability is constructed, negotiated, and practiced in using and implementing AI-automated home care in Estonia, Finland, Norway, and Sweden.

The RISK-AI project is guided by a main research question: how can organizations better identify, understand, and manage AI risks in healthcare in ways that enhance trustworthiness and support responsible use of AI?  

AUTO-MARE examines the emergence of Maritime Autonomous Surface Ships (MASS) in the Nordic and Baltic.

This project introduces a normative framework based on the concept of digital dignity - emphasizing fair representation, recognition, and participatory agency - and responsiveness to citizen needs in the design and use of AI systems. 

The project will adapt current and future LLMs towards a more responsible coverage and functionality that encompass the linguistic and cultural diversity in the Nordic and Baltic regions.

The AI-PROCARE project seeks to redefine public procurement of AI systems activities to foster sustainable, equitable, and engaging healthcare work environments.

This project addresses the question: How do generative search engines (GSEs) influence media pluralism, democratic discourse, and digital sovereignty in the Nordic region?