Norwegian version

NordSTAR

Artificial Intelligence (AI) is a field in computer science that attempts to reproduce traits of human intelligence in machines. Nowadays it has a significant impact in almost all human activities. However, these achievements come with a price.

First, state-of-the-art algorithms in AI demand massive computing power and energy: to handle the ever-increasing Big Data repositories, AI systems must scale in proportion to all the available data. In other words, future AI must be sustainable.

Second, the long-term use of AI systems is also threatened by human factors, above all of them, lack of trust: even achieving super-human performance, AI models are often neglected by humans, due to their lack of transparency on how they generate their predictions. In other words, future AI must be trustworthy.

Nordic Centre for Sustainable and Trustworthy Artificial Intelligence Research (NordSTAR) is an Excellent Research Environment that aims to establish a new paradigm in the research on sustainable and trustworthy artificial intelligence. The centre is led by Pedro Lind and Anis Yazidi, and is part of the OsloMet AI Lab and Applied Artificial Intelligence

The main goal of NordSTAR is to develop AI tools, which embed all key aspects related with trustworthiness and sustainability. To do this the centre has established five research areas:

  • Security, safety and reliability

    This research area will address data security, humans physical safety, and reliability of the communication at the level of AI methods design.

    Ahmed Elmokashfi from SimulaMet (simulamet.no) leads the research area. Watch this video to learn more about security, safety and reliability:

  • Human factors in AI

    They will incorporate the fundamental legal and moral norms underlying social behavior and consider them in the design of Sustainable and Trustworthy AI tools. This research area was initiated by Marija Slavkovik from the University of Bergen (UiB). 

    Elena Parmiggiani from the Norwegian University of Science and Technology (NTNU) leads this research area. Watch this video to learn more about human factors in AI: 

  • Quantum AI

    The aim of this area is to bridge the gap between the growing number of theoretical suggestions on design and application of quantum AI and the present lack of quantitative practical results.

    Sergiy Denysov leads the research area. Watch this video to learn more about quantum AI: 

  • Biologically-inspired computational systems

    They will incorporate fundamental aspects of natural intelligence in AI models, with the motivation of approaching the efficiency of biological neural systems.

    Stefano Nichele leads the research area. Watch this video to learn more about biologically-inspired computational systems: 

  • Understandable and explainable models

    This research area is going to quantify the uncertainty in AI decisions and develop tools for better understanding of the different components of AI models and for explaining why specific AI decisions are obtained.

    Hugo Lewi Hammer is the leader of the research area. Watch this video to learn more about understandable and explainable models: 

 Leaders

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    Researchers

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      Ahmed Elmokashfi, SimulaMet. Leader of research area: Security, safety and reliability.  

      Elena Parmiggiani, NTNU. Leader of research area: Human factors in AI. 

      Administration 

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        Maria Normann, Communication Officer, SimulaMet

        Satellite groups

        • Department of Journalism and Media Studies, Faculty of Social Sciences at OsloMet

          At the Department of journalism and media studies, Roy Krøvel coordinates a NordSTAR satellite. Relevant research at the department is connected to illicit financial flows, digital security, fake news, social media, and more.

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          • Oslo University Hospital

            Tor Paaske Utheim coordinates a NordSTAR satellite with the department of opthalmology (ous-research.no) and the department of medical biochemistry (ous-research.no) at Oslo University Hospital. 

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            • Akershus Clinical Research Center (ACR)

              Contact person: 

            News from NordSTAR

            picture of Pedro Lind and Anis Yazidi, the scientific directors of NordSTAR.
            NordSTAR at the NORA webinar

            Pedro Lind and Anis Yazidi, the scientific directors of the Nordic Centre for Sustainable and Trustworthy Artificial Intelligence (NordSTAR), presented the centre at the NORA webinar in February 2021.

            Rear view of two computer programmers, a young woman and a young man, discussing at office desk.
            How to make AI we can trust

            Artificial intelligence offers great promise, but suffers from a trust deficit. Researchers at OsloMet are seeking to make this technology more trustworthy and, ultimately, more sustainable.

            Profile picture of Pedro Lancastre, smiling
            First Ph.D. in intelligent health

            Pedro Lancastre is the first Ph.D. in Intelligent Health at OsloMet, and he will be joining the Nordic Center for Sustainable and Trustworthy Artificial Intelligence (NordSTAR).

            Stefano Nichele standing in front of the OsloMet campus
            Towards a less artificial Artificial Intelligence

            Stefano Nichele from OsloMet AI Lab and Nordic Centre for Sustainable and Trustworthy AI (NordSTAR) presented at the NORA webinar.

            Picture of a wall at OsloMet with green climbing plants
            OsloMet AI Lab granted status of Excellent Academic Environment with NordSTAR

            Nordic Centre for Sustainable and Trustworthy AI research (NordSTAR) will be OsloMets high quality academic environment in modern Artificial Intelligence.