Highlights

Meet the People Behind CAISA

On this page, you will id h people who make up CAISA. Here, we present our leadership team, chief scientists, researchers, and secretariat staff, the professionals who contribute to the center's mission every day. This overview provides names, titles, roles, and contact information for everyone at CAISA.

Management

Director
Rebecca Adler-Nissen
Københavns Universitet (KU)

Rebecca Adler-Nissen is a professor of Political Science at the University of Copenhagen and center director of CAISA. She researches global and European technology policy and the intersection of artificial intelligence and geopolitics.

For inquiries regarding Rebecca Adler-Nissen, please email Liv Skak Bruun.

Deputy Director
Thomas B. Moeslund
Aalborg Universitet (AAU)

Thomas B. Moeslund is a professor at Aalborg University and Deputy Head of CAISA. He researches computer vision, AI, responsible AI, machine learning, image analysis, and robotics.

Chief Scientists

Chief Scientist
Anders Søgaard
Københavns Universitet (KU)

Anders Søgaard is a professor of Artificial Intelligence and Machine Learning at the Department of Computer Science at the University of Copenhagen, as well as head of the Center for Philosophy of Artificial Intelligence and the research group COASTAL.

Chief Scientist
Anna Rogers
IT-Universitetet i København (ITU)

Anna Rogers is an associate professor at the IT University of Copenhagen. Her research focuses on the interpretation and robustness of NLP applications based on extensive language models, as well as their sociotechnical implications.

Chief Scientist
Helene Friis Ratner
Danmarks Tekniske Universitet (DTU)

Helene Friis Ratner is a professor at the Technical University of Denmark and researches the impact of AI and digital technologies on welfare. She researches how data-driven technologies affect both the organization of welfare and the relationship between state and citizen.

Chief Scientist
Malene Flensborg Damholdt
Aarhus Universitet (AU)

Malene Flensborg Damholdt is an associate professor of Psychology at the Department of Psychology, Aarhus University. She researches the relationship between humans and AI, and how social technologies are perceived as tools, operators, or anything in between.

Chief Scientist
Morten Axel Pedersen
Københavns Universitet (KU)

Morten Axel Pedersen is a professor of Anthropology and Social Data Science at the University of Copenhagen. At CAISA, he researches tech sovereignty, AI governance, and human-AI interactons.

Chief Scientist
Roman Jurowetzki
Aalborg Universitet (AAU)

Roman Jurowetzki is an associate professor at Aalborg University. He researches technological change, innovation economics, and policy development.

Chief Scientist
Serge Belongie
Pioneer Centre for AI (P1)

Serge Belongie is a professor of Computer Science at the University of Copenhagen and head of the Pioneer Centre for Artificial Intelligence. His research focuses on computer vision, machine learning, and AI.

Chief Scientist
Stine Lomborg
Københavns Universitet (KU)

Stine Lomborg is a professor of Digital Communication and Head of the Center for Tracking and Society. She researches digital tracking and the importance of data-driven decisions for individuals and society.

Chief Scientist
Sune Lehmann
Danmarks Tekniske Universitet (DTU)

Sune Lehmann is a professor of Network- and Complexity Science at Technical University of Denmark Compute, as well as a professor of Social Data Science at SODAS. He researches social systems and applies machine learning to analyze behavior, mobility and networks.

Researchers

Senior Researcher
Andreas Bjerre-Nielsen
Københavns Universitet (KU)

Andreas Bjerre-Nielsen researches how digital technologies and data affect human behavior and decisions, especially in education.

Senior Researcher
Naja Holten Møller
Københavns Universitet (KU)

Naja Holten Møller researches how the relationship between citizens and the public sector is shaped and negotiated through digital technologies. Based on Participatory Design, she explores how these technologies can be developed and used in ways that support both democratic and human values.

Seniorforsker
Nicki Skafte Detlefsen
Danmarks Tekniske Universitet (DTU)

Nicki Skafte Detlefsen forsker i hvordan man bygger, skalerer og udruller machine learning-modeller på en ansvarlig måde i praksis.

Researcher
Anders Skaarup Johansen
Aalborg Universitet (AAU)

Anders S. Johansen is a postdoc at CAISA and AAU, and researches computer vision. He is interested in how to translate legal and ethical expectations of AI systems into technical evaluation criteria.

Researcher
Arturo Valdivia
IT-Universitetet i København (ITU)

Arturo Valdivia is a researcher in artificial intelligence at the IT University of Copenhagen. At CAISA, he leads an innovative research initiative on human-AI interactions, technological sovereignty, and AI governance.

Researcher
Christopher Gyldenkærne
Københavns Universitet (KU)

Christopher Gyldenkærne has a PhD in technical science and is a postdoc at CAISA. He researches the responsible use of health data and AI, as well as how AI systems are developed and implemented in health and welfare organizations.

Researcher
Jacob Richard Strabo
Aalborg Universitet (AAU)

Jacob Strabo holds a ph.d. in Economics from the University of Copenhagen and researches how changes in societal structures shape the education system and labor market, as well as which skills and competencies are rewarded in the modern labour market.

Researcher
Jakob Laage-Thomsen
Danmarks Tekniske Universitet (DTU)

Jakob Laage-Thomsen is a postdoc at the Technical University of Denmark and CAISA and researches the effect of technologies on professional decision-making and policy. Among other things, he researches how generative AI changes work processes and (professional) quality in public organizations.

Researcher
Lisa Reutter Larsen
Københavns Universitet (KU)

Lisa Reutter Larsen is a postdoc at CAISA and a researcher in data-driven public administration. She is a social scientist and is interested in the interaction between technology, data, and democracy.

Forsker
Terne Sasha Thorn Jakobsen
IT-Universitetet i København (ITU)

Terne Sasha Thorn Jakobsen er postdoc ved ITU og CAISA og forsker i, samt udvikler, AI infrastruktur som kan understøtte borgeres adgang til information fra både offentlige institutioner og civile fællesskaber på en sikker og ansvarlig måde.

Secretariat

Head of Secretariat
Karin Klitgaard Møller
Københavns Universitet (KU)
Manager of Aalborg Hub
Rasmus D. Jensen
Aalborg Universitet (AAU)
Head of Collaborations
Jonas Sundgaard
Københavns Universitet (KU)
Head of Communications
Josefine Poulsen
Aalborg Universitet (AAU)
Project Coordinator
Stine Nørgaard Christensen
Aalborg Universitet (AAU)
Project Coordinator
Elisabeth Beck Knudsen
Københavns Universitet (KU)
Research Assistant and Editor
Johannes Nissen Feldt
Københavns Universitet (KU)
Research & Executive Assistant
Liv Skak Bruun
Københavns Universitet (KU)
Videnskabelig assistent
Caroline Gjørtsvang Kock
Aarhus Universitet (AU)
Student Assistant
Louise Krogh
Københavns Universitet (KU)
Student Assistant
Frederik Emil Clausen
Københavns Universitet (KU)
Student Assistant
Jackie Karlsen
Aalborg Universitet (AAU)
Student Assistant
Birk Bregendahl
Københavns Universitet (KU)
Head of Secretariat
Karoline Husbond Andersen (Leave)
Københavns Universitet (KU)
Student Assistant
Emma Johanne Poulsen Siig (Leave)
Københavns Universitet (KU)
Eventos
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newness
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Research
Transparency of AI-generated content when AI is the norm

Through six interventions from leading European scholars in their field, this research brief examines the challenges of governing AI-generated content in an information environment where such content is rapidly becoming the norm. Drawing on interdisciplinary perspectives, the contributions assess the effectiveness and limitations of emerging AI transparency governance, particularly labelling requirements under the EU AI Act and the forthcoming Code of Practice on marking and labelling of AI-generated content. While transparency labels are normatively important for informing users about content provenance, research suggests that labelling alone is unlikely to mitigate manipulation, restore trust, or empower citizens. The research brief therefore argues for a broader transparency ecosystem that combines labelling with governance infrastructure, organisational accountability, and ongoing research to develop adaptive, evidence-based approaches to AI transparency.

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Eventos
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newness
AI-seminar på Marienborg

Kunsting intelligens er rykket helt ind i kernen af dansk politik. Under regeringsforhandlingerne på Marienborg i april 2026 blev forhandlingerne midlertidigt sat på pause, så toppolitikere kunne deltage i et seminar om AI og dets betydning for samfundet.

Her bidrog CAISA's centerleder Rebecca Adler-Nissen sammen med professor Abraham Newman (Georgetown Univeristy) med forskningsbaserede perspektiver på AI's rolle i geopolitik, økonomi og demokrati. Deres oplæg adresserede blandt andet, hvordan kunstig intelligens påvirker sikkerhed, arbejdsmarked, uddannelse og Europas strategiske position.

Ifølge TV2 var der stor interesse blandt politikkerne, som engagerede sig i spørgsmål om både teknologisk udvikling og samfundsmæssige konsekvenser. Rebecca Adler-Nissen fremhævede selv den høje grad af engagement og efterspørgsel på viden om AI's betydning på tværs af politikområder.

CAISA's deltagelse understreger centerets rolle i at bringe forskningsbaseret viden ind i politiske beslutningsprocesser og bidrage til en ansvarlig udvikling af AI i samfundet.

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Research
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Eventos
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newness
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Research
Digital Suverænitet: Fra begreb til strategisk ramme

This brief is currently only available in Danish.

Summary (Translated)

Digital sovereignty is multidimensional and requires priority

In a time of geopolitical instability and rapid AI development, control over digital infrastructure and data has become critical. While there is broad agreement on the need for action at the national, Nordic, and EU levels, a shared language around digital sovereignty is still lacking. This lack of alignment leads either to inaction or to narrow technical solutions without strategic direction. The core argument of the brief is that digital sovereignty is a multidimensional concept, involving both principled positions and pragmatic choices. Reducing it to technical solutions risks overlooking the values and trade-offs that determine who controls and benefits from these systems. Conversely, focusing solely on values leads to abstract principles without practical implementation or real impact. Digital sovereignty is rarely about choosing between full self-sufficiency and total dependence. Rather, it is about balancing often competing demands for openness, security, competitiveness, growth, values, and rights in a world where capabilities are unevenly distributed. This means that it is necessary to define who or what is to be protected or promoted, within the domains of security, economic growth, or citizens’ rights, and to recognize that choices in one domain may strengthen or undermine another. The brief focuses on AI as the area where digital sovereignty is most acutely at stake, but the concepts apply more broadly to digital infrastructure and data. It provides decision-makers with tools to navigate these dilemmas by presenting:

§  A conceptual framework for identifying who or what should be digitally sovereign.
§  An overview of how digital sovereignty is prioritized around the world.
§  An understanding that sovereignty can be exercised through three control regimes: ownership, expertise, or regulation – but that none of these are sufficient on their own.

The central implication of the brief is that digital sovereignty requires an integrated strategy that combines ownership, expertise, and regulation, while managing the interdependencies and trade-offs between security, economic growth, and citizens’ rights through clear objectives. Without this holistic approach, there is a risk of ineffective regulation, unusable infrastructure, or a lack of capacity to develop, maintain, and apply solutions in practice, potentially undermining security, growth, or rights.

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