The desired consortium output is to develop a language model that over time can solve concrete and specific tasks for a companies or public organisations. To get there, it requires datasets, commitment and trust.
The Danish language model will be trained using data from consortium members, which is part of their commitment to the initiative (see commitments below). Denmark’s advanced network, cloud, and data infrastructure provide extensive datasets from both public and private sectors, ready to be utilised for AI training. This robust data foundation is key to develop effective AI solutions.
However, handling large amounts of data from the private and public sectors naturally brings up concerns about data protection. To address these issues, the Danish language model will be developed as a smaller model, thereby enhancing data protection through five key principles (detailed below). The Danish Chamber of Commerce believes this approach will encourage more companies and public institutions to adopt AI, promoting trust and safety in AI technology use.
All companies have the opportunity to become a member of the consortium, but only if they sign the principals and commitments below.
