News & Events - NorwAI Center
Upcoming events in NorwAI
Norway must build its own language models to be able to test whether they are effective
In DN, debaters Tellef Raabe and Aksel Sterri suggested that Norway should establish a government body with a mandate to test and evaluate AI models before they are rolled out in the public sector, conduct international coordination and provide strategic advice to the authorities.
The diagnosis is good, but incomplete, believe NorwAI's leaders, chairman Sven Størmer Thaulow and professor and director Jon Atle Gulla.
2026-02-26
Students as an innovation resource
Hanne Dahl Vonen is a fifth-year medical student at NTNU. She holds an MSc in Epidemiology from Harvard T.H. Chan School of Public Health, where she was an Aker Scholar, and she also has previous experience from Novo Nordisk External Innovation. She is the founder and CEO of the startup Hugin Medical, where she and her team use AI to create a more sustainable healthcare system. She compares how Norwegian and US Universities differs on innovation training.
2026-02-26
Slow conversations to form a basis for action against misuse of technology
At the start of January, a group of individuals whose work intersects with AI, power, democracy, truth, security and threat perception, gathered to discuss democratic resilience. With diverse perspectives, from academia, public service, healthcare, the church, labour unions and finance, a crossdisciplinary conversation was fueled on how to navigate technology’s challenges resonsibly.
2026-01-29
NLDB 2026
The 31st Annual International Conference on Natural Language & Information Systems
17-19 June 2026 | NTNU | Trondheim, Norway
The 31st Annual International Conference on Natural Language & Information Systems (NLDB 2026) will be held in Trondheim, Norway from 17-19 June, 2026.
Since 1995, NLDB has brought together researchers, industry practitioners, and potential users interested in applying Natural Language Processing (NLP) to Database and Information Systems. Topics cover a wide range of applications in Information Access systems, including Big Data, Social Networks, and Large Language Models.
The latter have transformed how NLP is done, and introduced new challenges such as transparency and bias in AI, multimodality, and conversational systems. The technology enables a multitude of applications including personalization, sentiment analysis, and chatbots.
Many organizations make use of the plethora of models, as researchers keep adding to the stack. NLDB'26 provides a forum to share the latest insights in academic, and industrial research on NLP across information systems. We welcome novel, unpublished contributions.
