During spring the first call for AI Policy Fellows was launched. This first call was open for researchers working at all faculties at Umeå University. Many strong submissions were made and after a review process, we are now happy to announce the appointment of the inaugural fellows of the AI Policy Lab. The fellows will join the lab in August and during their time with us the fellows will lead research projects that investigates and address critical intersections of artificial intelligence and societal impact. The selected fellows are:

Elin Kvist will address the profound implications of data-driven and algorithmic systems on work environments and workers’ rights. Kvist aims to explore how AI influences workers’ abilities to mobilize and organize, crucially examining the landscape of political attitudes and union preparedness. This initiative seeks to empower workers amidst evolving AI-driven work dynamics.
Lars Norqvist project focuses on AI’s transformative role in leadership practices within educational settings. His interdisciplinary approach aims to unravel the complexities of AI’s impact on leadership autonomy, accountability, and decision-making processes. By employing qualitative methods, Norqvist seeks to provide actionable insights that can inform policy at various governance levels, aiming to bridge theoretical constructs with practical applications in educational leadership.


Henry Lopez Vega research undertakes the challenge of shaping AI policies in healthcare delivery across the region of Västerbotten. Collaborating with regional healthcare stakeholders, Lopez Vega’s research aims to evaluate how AI regulations can enhance service delivery and ecosystem emergence in healthcare. This project will analyze policy implications and foster innovation through the adoption of AI technologies like chatbots and healthcare platforms.
The AI Policy Lab remains committed to advancing cutting-edge research that addresses critical societal challenges posed by AI technologies. Each fellow’s work aligns closely with the lab’s vision to inform policy and practice, ensuring AI’s responsible integration into society.

