Highlights

Meet the People Behind CAISA

On this page, you will find the 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 Director of CAISA. Her research focuses on global and European technology policy, with a particular emphasis on the intersection of artificial intelligence and geopolitics.

Inquiries for Rebecca Adler-Nissen may be directed to Liv Skak Bruun via email.

Deputy Director
Thomas B. Moeslund
Aalborg Universitet (AAU)

Thomas B. Moeslund is a Professor at the Department of Architecture, Design, and Media Technology at Aalborg University and Deputy Director of CAISA. His research focuses on computer vision, artificial intelligence, 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, University of Copenhagen, and Director of the Center for Philosophy of Artificial Intelligence and the COASTAL research collective.

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

Anna Rogers is an Associate Professor in Data Science at the IT University of Copenhagen and researches natural language processing and large language models. She investigates interpretability and robustness in NLP systems, as well as the sociotechnical implications of their use.

Chief Scientist
Helene Friis Ratner
Danmarks Tekniske Universitet (DTU)

Helene Friis Ratner is a Professor in the Department of Technology, Management and Economics at DTU and researches the impact of AI and digital technologies on the welfare sector. She investigates how data-driven technologies influence the organization of welfare services and the relationship between citizens and the state.

Chief Scientist
Malene Flensborg Damholdt
Aarhus Universitet (AU)

Malene Flensborg Damholdt is an Associate Professor of Psychology at Aarhus University and researches human relationships with robots and artificial intelligence. She investigates how social technologies are experienced and used as tools, actors, or something 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. His research focuses on digital sovereignty, AI governance, and human-AI interaction.

Chief Scientist
Roman Jurowetzki
Aalborg Universitet (AAU)

Roman Jurowetzki is an Associate Professor in Innovation Studies and Applied Data Science at Aalborg University and researches technological change, innovation economics, and policy development. He investigates how technological and economic transformations shape innovation, growth, and societal development.

Chief Scientist
Serge Belongie
Pioneer Centre for AI (P1)

Serge Belongie is a Professor of Computer Science at the University of Copenhagen and Director of the Pioneer Centre for Artificial Intelligence. His research focuses on computer vision, machine learning, and artificial intelligence.

Chief Scientist
Stine Lomborg
Københavns Universitet (KU)

Stine Lomborg is a Professor of Digital Communication and Director of the Center for Tracking and Society. Her research focuses on digital tracking and the impact of data-driven decision-making on individuals, organizations, and society.

Chief Scientist
Sune Lehmann
Danmarks Tekniske Universitet (DTU)

Sune Lehmann is a Professor of Network and Complexity Science at DTU Compute and a Professor of Social Data Science at the University of Copenhagen. He researches social systems and applies machine learning to analyze human behavior, mobility, and networks.

Researchers

Senior Researcher
Andreas Bjerre-Nielsen
Københavns Universitet (KU)

Andreas Bjerre-Nielsen is an associate professor in Economics and Social Data Science at University of Copenhagen and researches how digital technologies and data influence human behavior and decision-making. He is particularly interested in the role of technology in learning, education, and opportunities in a data-driven society.

Senior Researcher
Naja Holten Møller
Københavns Universitet (KU)

Naja Holten Møller is an associate professor in the Promotion Programme at University of Cophenhagen and researches how relationships between citizens and the public sector are shaped and negotiated through digital technologies. Drawing on Participatory Design, she examines how technologies can be developed and used in ways that support democratic and human values.

Senior Researcher
Nicki Skafte Detlefsen
Danmarks Tekniske Universitet (DTU)

Nicki Skafte Detlefsen is an Associate Professor in the Section for Cognitive Systems at Technical University of Denmark and researches the development, scaling, and deployment of machine learning models in practice. He investigates how these systems can be built and applied in responsible and robust ways.

Researcher
Anders Skaarup Johansen
Aalborg Universitet (AAU)

Anders S. Johansen is a postdoctoral researcher at CAISA and Aalborg University, where he conducts research in computer vision. He investigates how legal and ethical expectations of AI systems can be translated into technical evaluation metrics.

Researcher
Arthur Bran Herbener
Aarhus Universitet (AU)

Arthur Bran Herbener is a postdoctoral researcher at CAISA and studies human social interactions with chatbots and robots. He investigates the factors that drive and characterize people's social relationships with conversational technologies.

Researcher
Arturo Valdivia
IT-Universitetet i København (ITU)

Arturo Valdivia is a postdoctoral researcher at CAISA and a researcher at the IT University of Copenhagen working in artificial intelligence. He leads a research initiative on human-AI interaction, focusing on technological sovereignty and AI governance.

Researcher
Christopher Gyldenkærne
Københavns Universitet (KU)

Christopher Gyldenkærne is a postdoctoral researcher at CAISA and studies the responsible use of health data and artificial intelligence. He investigates how AI systems are developed and implemented in healthcare and welfare organizations.

Researcher
Ilias Chalkidis
Københavns Universitet (KU)

Ilias Chalkidis is an assistant professor at CAISA and researches the sociotechnical challenges associated with the development and deployment of generative AI. His work examines the ideological and political positioning of GenAI assistants, the limitations of AI safety efforts, and critical perspectives on artificial intelligence.

Researcher
Jacob Richard Strabo
Aalborg Universitet (AAU)

Jacob Strabo is a postdoctoral researcher at CAISA and studies how societal change affects education and labor markets. He investigates how changes in social structures influence the skills, competencies, and opportunities that are valued in the workforce.

Researcher
Jakob Laage-Thomsen
Danmarks Tekniske Universitet (DTU)

Jakob Laage-Thomsen is an assistant professor at DTU and CAISA and researches the impact of technology on professional decision-making and public policy. He investigates how generative AI influences work processes and professional quality in public sector organizations.

Researcher
Lisa Reutter Larsen
Københavns Universitet (KU)

Lisa Reutter Larsen is a postdoctoral researcher at CAISA and studies data-driven public administration. She investigates the interplay between technology, data, and democracy in the development of the public sector.

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

Terne Sasha Thorn Jakobsen is a postdoctoral researcher at CAISA and the IT University of Copenhagen. She researches and develops AI infrastructure that supports citizens' access to information from public institutions and civil society in secure and responsible ways.

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 Press and Communications
Simon Knokgaard Halskov
Københavns Universitet (KU)
Digital Communications and Engagement Manager
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)
Research Assistant
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)
Student Assistant
Sara Lolholm Nielsen
Københavns Universitet (KU)
Student Assistant
Felix Forner
Københavns Universitet (KU)
Head of Secretariat
Karoline Husbond Andersen (Leave)
Københavns Universitet (KU)
Student Assistant
Emma Johanne Poulsen Siig (Leave)
Københavns Universitet (KU)
Events
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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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Events
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News
AI-seminar at Marienborg

Artificial intelligence has moved to the very center of Danish politics. During the government negotiations at Marienborg in April 2026, the talks were temporarily paused so that senior politicians could attend a seminar on AI and its societal implications.

At the seminar, CAISA Director Rebecca Adler-Nissen, together with Professor Abraham Newman (Georgetown University), contributed research-based perspectives on the role of AI in geopolitics, the economy, and democracy. Their presentation addressed, among other issues, how artificial intelligence affects security, labor markets, education, and Europe’s strategic position.

According to TV2, there was strong interest among the politicians, who actively engaged with questions related to both technological developments and societal consequences. Rebecca Adler-Nissen highlighted the high level of engagement and the growing demand for knowledge about the implications of AI across policy areas.

CAISA’s participation underscores the center’s role in bringing research-based knowledge into political decision-making processes and contributing to the responsible development of AI in society.

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Research
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Events
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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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