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.
More than 50 attendees from the Norwegian AI research community gathered in Tromsø, Norway for two days of insightful presentations, interactive technical sessions, and scientific and social interactions.
Last week, we wished Aasland—accompanied by Political Advisor Munir Jaber and Senior Adviser Finn-Hugo Markussen—welcome to the Norwegian Computing Center (NR). One of the visit's goals was to showcase ongoing Visual Intelligence projects at NR.
Alba Ordoñez and Anders U. Waldeland presented ongoing work on seismic foundation models and an interactive seismic interpretation engine at EAGE Annual 2025 in Toulouse, France.
Østmo was invited to Abels tårn—one of the largest popular science radio shows in Norway—to answer listener-submitted questions related to artificial Intelligence (AI). The live show took place at Blårock Cafe in Tromsø, Norway on June 12th.
VI industry partner Kongsberg Satellite Services (KSAT) received an Industrial PhD grant from the Research Council of Norway. The project will be closely connected to Visual Intelligence's "Earth observation" innovation area.
Visual Intelligence Researchers Amund Vedal and Arnt Børre Salberg recently presented ongoing Visual Intelligence research at a plankton-themed workshop organized by the Institute of Marine Research (IMR), Norway
We happily welcome Dennis Adamek, who recently started as a Doctoral Research Fellow at Visual Intelligence in Tromsø in April 2025.
Congratulations to Professor Lars Ailo for receiving the NORA Award for Diversity in AI at the NORA Annual Conference in Halden, Norway.
Teresa Dorszewski is a PhD Candidate at the Section for Cognitive Systems at the Technical University of Denmark. She visited Visual Intelligence in Tromsø from January to April 2025.
Centre Director Robert Jenssen was invited to give a keynote and participate in a panel discussion on AI as critical national infrastructure at the NORA Annual Conference 2025 in Halden, Norway.
Både forskere og statsråd mener kunstig intelligens bør tydelig merkes. Men forlaget som lager puslespillet som ekspertene mener er KI-generert, sier de ikke har noe med hvordan illustratører lager produktene sine (Norwegian news article by NRK)
Researchers have developed an artificial intelligence to map specific immune cells in lung cancer tumors. It can lead to less costly examinations and more personalised cancer treatment (English news story on sciencenorway.no).
The Department of Physics and Technology at UiT The Arctic University of Norway is pleased to announce 4 exciting PhD Fellowships within machine learning at SFI Visual Intelligence. Application deadline: June 17th.
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Norsk forskning har utviklet kunstig intelligens som raskt kan analysere lungekreft. Ekspertene forklarer hvordan dette kan bidra til en mer effektiv og persontilpasset behandling (Norwegian news article in vg.no)
We invite submissions presenting new and original research on all aspects of Deep Learning for the Northern Lights Deep Learning (NLDL) Conference 2026.
Partiet Sentrum er blant dem som tar grepet. – Ganske smart, mener valgforsker (Norwegian news article in TV2.no)
Visual Intelligence will be well presented at ICML 2025—one of the leading international academic conference in machine learning—with four newly accepted research papers.
After four years of operation, an international AI expert panel was appointed to assess Visual Intelligence's progress and results. The evaluation was characterized by its excellent remarks on the centre's scientific quality and innovation output.
Senior Researcher Fredrik Dahl recently gave a talk about Norsk Regnesentral's work on developing AI algorithms for automatic analysis of image quality and cancer detection at Norsk Radiografforbund's mammography symposium in Oslo.
Han høster anerkjennelse for sitt forskningsarbeid innen utvikling av mer effektive KI-modeller (Norwegian news article in Nordlys).