Highlights

Collaboration and networks

At CAISA, we collaborate with the public sector, businesses, and civil society on a range of current projects that bridge the gap between research and practice. We also establish networks where researchers and stakeholders meet to exchange knowledge and experience.
Are you interested in entering a strategic or professional partnership? Or would you like to learn more about our existing collaborations and networks? You are always welcome to contact us.

Please use the contact form via the button below, and we will get back to you as soon as possible.
Contact us for collaboration
CAISA's principles for collaboration define the guidelines we follow to ensure independence, transparency, and integrity in our work to strengthen knowledge about AI in society.

Independence (Arm’s Length Principle)
We always operate according to the arm’s length principle. Our research, analysis, and advisory activities are based exclusively on independent research with a clear academic foundation. Collaborations must not influence our priorities or conclusions.

Transparency and Openness
We communicate clearly about all collaborations, sources of funding, and roles, ensuring that purpose and scope are transparent to all stakeholders.

Integrity in Partnerships
We only enter into collaborations where the purpose and allocation of responsibilities can be communicated openly.

Responsible Funding
We accept funding only when it does not bind us to specific outcomes or influence our credibility. All agreements must be capable of being shared openly.

Current collaborations

CAISA x Statistics Denmark
CAISA x Statistics Denmark

CAISA has received a grant of DKK 45 million from the research reserve for a collaboration with Statistics Denmark. The partnership aims to strengthen both research in responsible artificial intelligence and the infrastructure that enables such research through two key initiatives:

The first initiative will modernize Statistics Denmark’s infrastructure for AI research, allowing researchers to work securely with complex data sources and train large AI models on Danish register data.

The second initiative will generate new knowledge on the responsible use of AI algorithms, ensuring they meet requirements for fairness, transparency, and trust while maintaining their functionality over time.

Code of Practice for Transparency of AI Generated Content Reference Group
Code of Practice for Transparency of AI Generated Content Reference Group

European Commission has initiated the development of a Code of Practice to support compliance with the AI Act’s transparency requirements for labelling AI-generated content (Article 50). Once adopted, AI providers and deployers may voluntarily sign the code to demonstrate compliance with these obligations.

The code is currently being drafted. We have established a reference group to support Professor Irina Shklovski, who contributes as an eligible stakeholder in Working Groups 1 and 2. The group seeks to bring together academic expertise to provide input on the code’s development.

To join the reference group, please contact Professor Irina Shklovski at ias@di.ku.dk.

Tech Policy Youth Committee
Tech Policy Youth Committee

The Tech Policy Youth Committee (TPYC) is a student-led initiative that brings together engaged students to discuss and influence the future of technology policy. The committee explores critical topics including digitalization, welfare, mental well-being, cybersecurity, geopolitics, disinformation, inequality, and the green transition.

As a member, you become part of an active network, participate in meetings and events, and collaborate with key stakeholders from civil society, industry, and the public sector. the tech Policy Youth Committee aims to amplify young people's voices in debates on digitalization and technology, contributing to a more inclusive and equitable digital future.

Tech Policy Youth Committee's logo
Strategic initiative for artificial intelligence (AI)
Strategic initiative for artificial intelligence (AI)

CAISA is part of the Danish government’s strategic initiative for artificial intelligence (AI) and one of four new initiatives aimed at advancing responsible AI. The other initiatives include:

  • The Digital Taskforce for Artificial Intelligence, established in collaboration with KL and Danish Regions
  • The development of a platform to accelerate secure and transparent Danish language models
  • The provision of Danish text data as open-source resources
CPH Tech Policy Committee

The CPH Tech Policy Committee brings together researchers and professionals from the public sector, businesses and civil society to discuss challenges in technology and digitalisation policy based on the latest research. The Committee works to bring Danish experience into dialogue with international practices and create new, lasting global partnerships.

CPH Tech Policy Youth Committee

The CPH Tech Policy Youth Committee is a student-run committee that brings together engaged students to debate and shape the technology policy of the future. The Committee works on issues such as digitalisation, welfare, psychological well-being, cyber security, geopolitics, disinformation, inequality and the green transition.

As a member, you become part of an active network, participate in meetings, events and cooperate with key actors from civil society, business, and the public sector.

CPH Tech Policy Youth Committee works to strengthen the voice of young people in the debate on digitalization and technology, thus contributing to a fairer and more inclusive digital future.

Strategic efforts for artificial intelligence

CAISA is part of the Government's Strategic Action for Artificial Intelligence and one of four new initiatives to help pave the way for responsible artificial intelligence. The other initiatives are:

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  • The Digital Task Force for Artificial Intelligence, established in collaboration with KL and Danish Regions
  • Establishing a platform that promotes the development of safe and transparent Danish language models
  • Making Danish text data available open source
Events
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News
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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.

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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
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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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