The AI-projects for the first round in the sandbox was announced early March 2021. The following 3-6 moths these organizations will explore a juridical challenging terrain.
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Secure Practice is in the information security industry. They want to develop a service that profiles employees in terms of the cyber security risk they pose to the companies. The purpose is to be able to follow up with adapted safety training based on which profile categories the employees fall into.
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Teachers have allways made notes and talked to each other to map the students' level, adapt assignments and give grades. But what happens when all this information is created, stored and exchanged digitally? In the KS project, they want to analyze students' data from various digital learning tools, to support the teachers in the assessment work and to adapt the teaching better to the students' individual level.
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NAV will use artificial intelligence to predict the length of sick leave for people on sick leave. The purpose is to get a more user-friendly and efficient follow-up of sick leavers, by avoiding arranging unnecessary meetings. By being able to predict who is back at work and not at a given time, they will be able to concentrate their efforts where it is needed most.
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Age Labs is a young entrepreneurial company in predictive diagnostics. They combine machine learning and biobanks and look at epigenetics, i.e. how genes are turned on and off. With machine learning, they find signals of disease, and the goal is to detect diagnoses earlier. It will also help to provide preventive and correct treatment, once you have received a diagnosis.