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.
Visual Intelligence researchers contributed with various activities during Forskningsdagene 2026: Norway's annual research festival.
100 researchers, user partners and invited guests gathered in Oslo, Norway for the Visual Intelligence Days: the centre's annual conference for sharing knowledge and updates on the latest research and innovations.
Why should we think twice before using AI as a therapist, romantic partner, or to help out with homework? AI expert Elisabeth Wetzer explains (Popular science article on sciencenorway.no / forskning.no).
Associate Professor Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the ongoing debate on whether to halt current and future AI development
Representatives from the Research Council of Norway came to Visual Intelligence's hub in Tromsø for a site visit meeting.
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Harald Lykke Joakimsen, a PhD Candidate at Visual Intelligence's hub in Tromsø, will compete in Forsker Grand Prix: Norway's national popular science competition.
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Congratulations to Centre Director Robert Jenssen, who was appointed as a new fellow of the International Associaton for Pattern Recognition (IAPR).
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Why should we think twice before using AI as a therapist, romantic partner, or to help with homework? AI expert Elisabeth Wetzer explains.
Athinoulla Konstantinou is a PhD student at the University of Aberdeen. She visited Visual Intelligence's hub in Tromsø to work with equivariant modelling.
Visual Intelligence gathered experts from Norwegian politics, research council, industry, the public sector, and academia to discuss the value of Norwegian AI competence and Norwegian-developed models.
Visual Intelligence researchers are attending two AI-oriented events at Arendalsuka 2026: Norway's largest annual political festival.
Visual Intelligence hosted over 45 international AI researchers for the DL2026 workshop at UiT The Arctic University of Norway.
Visual Intelligence will be well represented at MICCAI 2026, one of the leading AI conferences on medical imaging and computer assisted intervention, with two accepted research papers.
Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting": an inaugural workshop in the P1 Arctic AI program.
PhD Candidates Solveig Thrun and Christian Salomonsen attended the Datacloud Global Congress' Talent in Tech programme, which invited emerging talent to a unique programme designed to inspire, educate, and connect young professionals with senior leaders from global tech giants.
We warmly welcome Georgios Leontidis as a new Professor at SFI Visual Intelligence's hub at UiT The Arctic University of Norway.
Centre Director Robert Jenssen was interviewed by Norsk rikskringkasting (NRK) about the Japan-Norway AI Innovation Forum in Tokyo, Japan.
En ny AI-løsning utviklet ved UiT kan gjøre det enklere å avdekke feilrapportering og ulovlig fiske. Nå skal Norges Råfisklag teste teknologien i praktisk bruk (News article on kystogfjord.no)
Principal Investigator Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the Artificial Intelligence Day at UiT- The Arctic University of Norway.
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En ny, åpent tilgjengelig KI-modell kan endre hvordan geologer tolker seismikk. Den norske grunnmodellen lover raskere analyser, lavere terskel for innovasjon og nye måter å forstå undergrunnen på.