Topics for the evening will include the use of artificial intelligence in the public sector, automation of case-management processes, and digitalisation challenges in the development of the new Norwegian Road Act.
Overview of the café tables:
To structure the conversations and get to know each other better, we will arrange café-style tables, and each table will have their own café host. We have brought in some great café hosts with diverse and complementary expertise. The host will introduce the theme before the conversations begin, and the goal is to spark a curious and exploratory dialogue.
1. Automating Social Assistance Benefits
Janne Petroons, Doctoral Researcher, KU Leuven, Belgium
Across Europe, the number of beneficiaries for social assistance is rising. In response, social agencies are increasingly adopting digital tools, such as algorithmic decision-making and AI, to streamline welfare decisions. At the same time, it is argued that welfare decisions are not suitable for automation due to the “human nature” of welfare services. This kafébord explores this tension. Participants are invited to reflect on which elements of welfare decisions can or cannot be automated and to consider whether and how automation should be implemented in practice.
3. The impact of Large Language Models on digitizing and compliance checking of regulations
Odin Iversen, NTNU, TwinConsult AS
The emergence of Large Language Models (LLMs) challenges the need for traditional digitization; if AI 'understands' natural language, regulations are effectively already digitized. This session will discuss how to structure legal documents for AI applications and leverage LLMs to solve compliance challenges that are difficult to check with traditional automation methods.
Odin Iversen is a Ph.D. candidate at the Norwegian University of Science and Technology (NTNU) and the founder of TwinConsult AS. His research explores the application of agentic AI in digital building permitting, with a primary focus on automating the compliance checking of BIM models against technical regulations like TEK17.
11. Regulating AI in Education
Malcolm Langford, Universitetet i Oslo
AI is influencing key dimensions of education, such as learning, teaching and assessment. Do the existing legal frameworks address the opportunities and challenges posed by AI in educational settings? If they fall short, what new forms of regulation might be needed?
Malcolm Langford is also a member of the national committee on AI in higher education (Malthe-Sørenssen-utvalget).
The event is suitable for anyone interested in law, digitalisation, or design, and is open to students as well as private and public actors.
Last year over 100 people took part in our problem-solving event — read more about how it went.
If you have topic suggestions or would like to contribute in another way, please contact us.
The event is organised in collaboration with Legal Innovation Lab Oslo (LILO), the Norwegian Directorate for Building Quality (Ragnhild Amdam), and the Norwegian Public Roads Administration (Helga Jerven).
Contact person: Øystein Flø Baste, o.f.baste@jus.uio.no