Significant investments have been made in data quality and availability, networks, and computing facilities, as well as in AI research, development, and application in Denmark. Danish companies and research environments are using AI, but there is still potential for better utilization of AI in Danish R&I.
Based on data from Statistics Denmark, DFiR estimates that 15% of Danish companies use AI, while one in four research and development-active companies currently use AI for research and development. Similarly, new survey results show that AI is used cautiously in academic research, primarily for editing language and content in research applications rather than for design, methodology, theory, data collection, and analysis.
During DFiR's series of debates, several barriers to the development and dissemination of AI in research and innovation were highlighted. These include uncertainty and lack of guidance on guidelines for ethically responsible AI and data security, which is otherwise one of Denmark's strengths. Additionally, there is a shortage of IT-skilled professionals who can develop and support the use of AI and ensure the quality and security of Deep Data.
In the brief, you can read DFiR's recommendations on how to ensure better utilization of AI in research and innovation. You can also watch recordings of the debate meetings by following the links below.