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ELSA Labs are awarded funding by the NWO

14 June 2022

The ELSA AI Lab Northern Netherlands (ELSA-NN) is committed to the promotion of healthy living, working and ageing. It is one of the five labs established under the NWO and Netherlands AI Coalition call to establish ‘Human-centred AI for an inclusive society - towards an ecosystem of Trust’.

The consortium in ELSA-NN will generate knowledge necessary for understanding the ethical and legal requirements for, and socio-political and psychological factors that contribute to the availability, use and performance of AI (with a special focus on low socioeconomic status groups) in different health-related decision-making contexts, thereby promoting healthy living, working and ageing in the Northern region.

UG Consortium receives funding

The consortium led by Senior Researcher  Mirjam Plantinga  from the UMCG and co-applicants from the University of Groningen, and the Hanze University of Applied Science is awarded a  2.2 million euro  grant for the lab. The Lab is integrated within the AI hub Northern-Netherlands, the Health Technology Research & Innovation Cluster (HTRIC) and the Data Science Center in Health (DASH), along with strong societal, industry and international partnerships for research volarisation. All in all, a fully multidisciplinary approach at making connections with different stakeholders in the region.

UCG lecturer  Dr. Ritumbra Manuvie  along with  Prof. Jeanne Mifsud Bonnici  (Faculty of Law) will be co-leading the research on legal and socio-political aspects.

Dr. Ritumbra Manuvie
Dr. Ritumbra Manuvie
Prof. Jeanne Mifsud Bonnici
Prof. Jeanne Mifsud Bonnici

Project aim

The duo will develop a stronger understanding of how socio-political factors and regulatory incentives influence trust in AI, willingness to participate in health research, digital health literacy and health disparities. The sub-project would also consider what legal considerations must be met for responsible GDPR compliant use and performance of AI in the different use cases, including data sharing and limitations concerning sensitive personal data, thereby contributing to the privacy by design principles for implementing trustworthy and human-centric AI.

More information

For additional information on this research project, please visit the website below.

Last modified:24 June 2022 10.42 a.m.
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