Mathias K. Hauglid
We congratulate Mathias K. Hauglid for successfully defending his PhD dissertation and achieving the PhD degree in Law at UiT The Arctic University of Norway on April 26th 2024.
We congratulate Mathias K. Hauglid for successfully defending his PhD dissertation and achieving the PhD degree in Law at UiT The Arctic University of Norway on April 26th 2024.
His thesis, "Bias and Discrimination in Clinical Decision Support Systems Based on Artificial Intelligence", explores and systematizes different types of biases and their sources, focusing on the extent to which biases in clinical decision support systems based on artificial intelligence can amount to ‘discrimination’ as defined in EU law.
The title of Hauglid's trial lecture, "The Role of European Human Rights Law in Relation to AI systems: Past, Present, and Future".
Supervisors:
Evaluation committee:
One of the most promising utilisations of Artificial Intelligence in healthcare is Clinical Decision Support (AI-CDS) systems: AI systems that support clinical assessments and decision-making by producing relevant classifications and predictions that may be relied on by clinicians and patients. However, an oft-cited concern is that AI systems can be ‘biased’ – a nebulous term often used to describe certain undesirable side-effects of AI. There exists a widespread apprehension that the use of AI to aid decision-making might, due to the presence of ‘bias,’ produce results that amount to discrimination. In response to various risks associated with AI systems, the EU legislature has proposed a common European regulatory framework for AI systems – the Artificial Intelligence Act. While facilitating innovation and trade, the AI Act aims to ensure the effective protection of the safety and fundamental rights of EU citizens, including the right to non-discrimination. Particularly, the proposed AI Act will require that certain preventive measures are taken to ensure compliance with applicable requirements before AI systems can lawfully be deployed in the EU. These preventive measures may, in one form or another, require that discrimination in AI systems must be assessed before deployment. The assessment of discrimination in an AI-CDS system before its deployment invokes the need for development of appropriate assessment methodologies. The objective of the thesis is to develop certain methodological elements of assessing discrimination in these systems in a pre-deployment setting. More precisely, the thesis sets out to develop considerations, principles, criteria, and methods that ought to be included in a pre-deployment discrimination assessment based on the non-discrimination principle in EU law. As a foundation for the development of these methodological elements, the thesis explores the issue of ‘bias’ in AI-CDS systems and the mechanisms through which equality-related biases may occur in these systems.
Michael Kampffmeyer is one of UiT's youngest professors and has already distinguished himself through his contributions to AI research. He has now won UiT's award for young researchers at the university's annual celebration.
The fifth Visual Intelligence annual report, showcasing the centre's activities, results, staff, funding and publications for 2024, is now available on our web pages.
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I juni møtes det norske KI-miljøet i Tromsø for å presentere ny forskning og diskutere nye retninger innen feltet. KI-forskere inviteres til å delta og vise fram forskningen sin under konferansen.
Visual Intelligence and the Digital Innovation Lab invited industry professionals to present ideas for master's projects to computer science and machine learning students at UiT The Arctic University of Norway.
Kunstig intelligens (KI) endrer måten vi løser komplekse problemer på. Ved UiT Norges arktiske universitet leder professor Robert Jenssen Visual Intelligence, et senter for forskningsdrevet innovasjon som utvikler neste generasjons KI-metoder.
Visual Intelligence researchers had the great pleasure of talking to high school students about the AI study programme at UiT The Arctic University of Norway during the UiT Open Day.
Director Robert Jenssen represented Visual Intelligence at the CuttingEdgeAI seminar "KI anno 2023: I offentlighetens interesse?" at the University of Bergen on March 7th.
Det hender at kunstig intelligens behandler menn og kvinner ulikt. Hvordan skjer dette? KI-forsker Elisabeth Wetzer forklarer hva som ligger bak skjevhetene i teknologien (Popular science story in forskning.no and sciencenorway.no)
Congratulations to Visual Intelligence board member Viktoria Gulliksen Stray for being featured in Abelia and ODA-Nettverk's list of Top 50 Influential Tech Women in Norway 2025!
Norwegian Minister of Research and Higher Education, Sigrun Aasland (Ap) got to hear about Visual Intelligence's work toward developing the next generation of deep learning methodology at a visit to UiT in Tromsø
Hva er lov og hva er ikke lov? Det er blant spørsmålene studentene stiller seg. (NRK.no story featuring director Robert Jenssen)
We had the pleasure of talking to students about the exciting career opportunities at Visual Intelligence and UiT The Arctic University of Norway during TEKdagen 2025
Last week, we welcomed students from Breivang upper secondary school to a full-day practical session on AI and programming at UiT The Arctic University of Norway
We happily welcome Solveig Thrun, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø in January 2025.
Visual Intelligence and UiT researchers organized a special curricular course on collaborative coding and reproducible research at UiT The Arctic University of Norway.
Andrew McDonald, a PhD student from University of Cambridge and the British Antarctic Survey, presented his work on sea ice forecasting with diffusion models, as well as the downstream applications of those forecasts, at Visual Intelligence in Tromsø.
Deep learning researchers from 27 different countries congregated at the 8th edition of the NLDL conference. - I have seen several interesting posters and talks that have opened my mind about different paths to explore in my own research, says NLDL 2025 attendee Tiago Ramos.
NRK, the national broadcasting company in Norway, spoke to Visual Intelligence researchers Robert Jenssen, Suaiba Amina Salahuddin, Michael Kampffmeyer and Elisabeth Wetzer about this year's Northern Lights Deep Learning Conference in Tromsø, Norway.
Andre uka i januar samles forskere fra hele verden i Tromsø for å dele og lære om siste nytt innen forskning på kunstig intelligens.
In record time, principal investigator Michael Kampffmeyer became a professor in machine learning at the young age of 32. Read more about his academic journey and work in the latest UiT Researcher Portrait