Current Fellows
Lucas is a research assistant at Aalborg University and researches digital technologies, learning, and collaboration.
In his CAISA Fellowship, Lucas researches how artificial intelligence can be used to support fair, consistent, and transparent judgment in oral examinations.
Aysel is an assistant professor of Law, Human Rights, and Digitalisation at the University of Copenhagen. Her research focuses on how digital technologies and artificial intelligence (AI) in the public sector shape rights, public administration, and decision-making processes. She is a co-founder of Denmark's first database on the use of AI in the public sector.
As part of her CAISA Fellowship, Aysel is working to further advance the database into a sustainable transparency infrastructure that strengthens public oversight of algorithmic governance and contributes to the national debate on digital sovereignty.
Agnete Meldgaard Hansen is an associate professor at the Department of People and Technology at Roskilde University. Her research focuses on care work in the healthcare and elderly care sectors, with a particular emphasis on how new technologies, including artificial intelligence (AI), influence care practices, relationships, and ethics.
As part of her CAISA Fellowship, Agnete examines the ethical implications of AI in elderly care and compiles existing knowledge into a practice-oriented research brief. Through interviews with municipalities and key stakeholders, she identifies and explores the ethical dilemmas that arise when AI is integrated into care work, contributing to a more nuanced and informed debate on responsible AI in Danish elderly care.
Samuel Rhys Cox researches human-centred AI, with a particular focus on conversational agents and chatbots. His work explores how AI systems can be designed to support people in sensitive and reflective contexts, including health, well-being, and creative practices.
As part of his CAISA Fellowship, Samuel researches how the framing and presentation of a chatbot’s memory and data retention influence users’ comfort, privacy perceptions, and willingness to self-disclose.
Jun is an Associate Professor at the Center for Tracking and Society, University of Copenhagen, where he leads a Sapere Aude: DFF-Starting Grant project. His research explores the relationship between people and digital technologies, with a focus on datafication, management, and artificial intelligence from a comparative perspective.
As part of his CAISA Fellowship, Jun examines how AI benchmarks function as de facto infrastructures shaping the development of AI systems - not as neutral standards, but as sociotechnical practices influenced by power relations, institutional interests, and geopolitical ambitions. His work highlights how these benchmarks actively shape what is considered legitimate knowledge, performance, and progress in artificial intelligence.
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.
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.
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.
