Highlights

CAISA's Research Tracks

CAISA is a national research center with an interdisciplinary approach to AI development, AI implementation, and the societal implications of artificial intelligence.

Through research spanning technical, social science, and humanities disciplines, we generate knowledge about the impact of AI on people, organizations, and society. We communicate our research through research briefs and position briefs designed for decision-makers in both the public and private sectors.

CAISA’s Three Interdisciplinary Research Tracks

  • Accountability: Developing new methods to ensure fairness, transparency, and privacy protection in next-generation AI systems, including autonomous agents and advanced robotics. In collaboration with the OECD and the World Economic Forum (WEF), CAISA will contribute to operationalizing responsible AI in both the public and private sectors.
  • AI and Society: Studying how AI is reshaping everyday life, work, education, and well-being. What competencies will be required in the future workforce? How can democratic participation be strengthened, and how can the use of AI for manipulation and polarization be prevented?
  • Innovation and Resilience: Generating evidence and strategies to help Danish companies strengthen their competitiveness and to reduce Denmark’s dependence on a limited number of technology providers. CAISA will contribute to initiatives on digital sovereignty and resilience at the European, Nordic, and NATO levels.

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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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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.

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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.

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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.

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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
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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