AI@Care: Law and Ethics and Algorithmic Bias in Healthcare

AI@CARE conceptualizes and computationally models how bias and discrimination occur within medical artificial intelligence, the reasons for these, and how the problem could be best addressed within enforceable legal frameworks and with reliable technological support to enhance the democratization of medicine.

Project period: 2020 – 2023

The project gathers experts in digital health and law and “will consist of three interrelated subprojects, researching in depth both qualitative and quantitative aspects of the bias and discrimination”, says Pr. Katarzyna Wac, co-principal investigator at the Quality of Life Technologies Lab. The starting point of the project is an existing representative large scale, longitudinal dataset for the Danish population and a set of algorithms for assessing their risk of chronic illness in the long term. According to Pr. Timo Minssen, co-principal investigator at CeBIL, “This combination will allow us to provide one of the first conceptual accounts of algorithmic/infrastructural, legal and ethical factors that are relevant to bias and discrimination scenarios in healthcare.”














Name Title Image
Lebret, Audrey Associate Professor Billede af Lebret, Audrey
Minssen, Timo Head of Centre, Professor Billede af Minssen, Timo


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AI@Care: Law and Ethics and Algorithmic Bias in Healthcare has received a three year funding from the DATA+ pool administered by the Rector of University of Copenhagen. 

Period: 2020 – 2023


Timo MinssenPI Director of centre, professor
Timo Minssen

South Campus,
Building: 6B.3.09A
DK-2300 Copenhagen S
Phone: +46 70 86 07 517

Katarzyna WacPI Professor
Katarzyna Wac
Human-Centred Computing
Universitetsparken 5
DK-2100 Copenhagen Ø, 24, 5th floor
Phone: +45 93 56 52 78