Highlights

Former Fellows

Fellow
Periode:
01.12.2025
31.12.2025
Jeppe Agger Nielsen
Aalborg Universitet (AAU)

Jeppe Agger Nielsen is a professor at the Department of Politics and Society at Aalborg University. He leads the research group Center for IT Management (CIM), and his research focuses on digital transformation and artificial intelligence from an organizational theory perspective.

During his CAISA fellowship, Heppe has researched the use of artificial intelligence among SMEs and published a research brief on the topic.

Fellow
Periode:
01.02.2026
31.03.2026
Stephanie Brandl
Københavns Universitet (KU)

Stephanie is an assistant professor at the Centre for Social Data Science (SODAS), University of Copenhagen. She has a background in natural language processing (NLP), and her research focuses on human-centered explanability as well as the application of NLP in political science.

During her fellowship at CAISA, she will research how large language models (LLMs) can be used for voting guidance in connection with the 2026 Danish parliamentary elections.

Fellow
Periode:
09.02.2026
13.03.2026
Hannes Ullrich
Københavns Universitet (KU)

Hannes is an associate professor of Health Economics at the Department of Economics at the University of Copenhagen, and Deputy Head of the Firms and Markets Department at DIW Berlin. His research examines how artificial intelligence shapes decision-making by influencing individuals’ information environments and incentives in healthcare and beyond.

As part of his CAISA Fellowship, Hannes has studied and engaged with the use of artificial intelligence in general practice, drawing on recent empirical evidence.

Fellow
Periode:
01.03.2026
31.05.2026
Ilker Kesen
Københavns Universitet (KU)

Ilker is a postdoc in the Language and Multimodal Processing Group at the Department of Computer Science at the University of Copenhagen. His primary research focuses on natural language processing (NLP), with a particular interest in pixel-based language modelling and multimodal learning.

As part of his CAISA Fellowship, Ilker researches how generative multimodal AI models moderate content about political and public figures. He maps biases across countries and models, contributing new insights into political bias in generative AI.

Fellow
Periode:
01.04.2026
31.05.2026
Anja Bechmann
Aarhus Universitet (AU)

Anja is a professor of Media Studies and Director of DATALAB at Aarhus University. Her research focuses on how AI-driven algorithms shape collective behaviour and democratic processes, and she has played key roles in international expert groups on disinformation and digital democracy. She currently chairs the EU Code of Practice on transparency in AI-generated content.

As part of her CAISA Fellowship, Anja is working to finalize the EU Code of Practice, which will guide companies in complying with AI regulation and transparency requirements. The work involves ongoing dialogue with industry, civil society, and academia, as well as input from EU Member States and institutions ahead of its publication in June 2026.

This is some text inside of a div block.
Events
Read more
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.

Read more
Events
Read more
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.

Read more
Research
Read more
Events
Read more
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.

Read more