CAISA receives large-scale funding for collaboration on infrastructure and research on responsible AI

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The National Centre for AI in Society (CAISA) is receiving 45 million Danish kroner from the Danish research reserve for a new AI collaboration with Statistics Denmark. This has been confirmed after the parties behind the research reserve reached an agreement on the allocation of next year's funds.

The collaboration between CAISA and Statistics Denmark will strengthen both research into responsible artificial intelligence (AI) and the infrastructure that makes the research possible - for the benefit of the whole of Denmark.

'The collaboration between CAISA and Statistics Denmark gives us a unique opportunity to combine world-leading research expertise with a unique national data infrastructure. The collaboration can contribute to Denmark standing strong as a society that both exploits the opportunities offered by AI and puts citizens' rights and trust at the centre,' says Andreas Bjerre-Nielsen, head of the collaboration.

He is a senior researcher at CAISA and an associate professor in Social Data Science and Economics at the University of Copenhagen.

Two interrelated initiatives

The collaboration is based on two mutually supportive initiatives:

One initiative is about strengthening and modernising the infrastructure for AI research at Statistics Denmark, which has a long tradition of making data available for research. The goal of the new initiative is to give Danish researchers good opportunities to handle new and complex data sources - such as unstructured data. At the same time, it will be possible to train large AI models on Danish register data in a secure analysis environment and with modern hardware.

The second initiative aims to generate new knowledge about how we can use AI algorithms responsibly in society. Through the development and use of Statistics Denmark's infrastructure and data, opportunities will be explored for creating a platform to ensure that the algorithms used in Denmark meet basic requirements such as equal treatment, transparency and trust.

The research will also investigate how to ensure that the algorithms maintain or improve functionality, even after they have been put into use.

'For 35 years, Statistics Denmark has safely provided quality-assured and documented data for research. We must, of course, continue to do so, even as technology and demand evolve,' says Martin Ulrik Jensen, Director General at Statistics Denmark. He elaborates:

'I am pleased that CAISA and Statistics Denmark will be working together on a major new initiative that will enable researchers from across the country to work securely and responsibly with new technology on our data and that of others in the future,' he concludes.

Contact

Andreas Bjerre-Nielsen, Associate ProfessorDepartment of Economics & SODASEmail: [email protected] T: 35 32 44 17

Simon Knokgaard Halskov, Press OfficerKU CommunicationEmail: [email protected] M: 93 56 53 29

• Infrastructure
• Data
• Statistics
• Grants
• Artificial intelligence

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