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How can you learn from data you do not have? Can federated learning be the solution when data sharing is difficult? The Norwegian Data Protection Authority's sandbox has explored the challenges and benefits of federated learning, a machine learning methodology that is presumed to be privacy friendly, which the start-up enterprise Finterai wishes to use in the fight against money laundering and the financing of terrorism.
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How can the Norwegian school system give students individual assessments and adapted education using learning analysis, and at the same time ensure students good privacy? This has been the central question in the regulatory AI-sandbox project with the Norwegian Association of Local and Regional Authorities (KS), the Centre for the Science of Learning & Technology (SLATE) at the University of Bergen (UiB) and the City of Oslo's Education Agency.
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Secure Practice wants to develop a service that profiles employees with regard to the cyber security risk they pose to the organizations. The purpose is to enable a follow-up with adapted safety training based on which profile categories the employees fall into. The project entered the sandbox in the spring of 2021. Here is the exit report.
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This sandbox project addresses NAV’s development of an AI tool to predict the development of sick leave on an individual level. NAV joined the sandbox the spring of 2021, and the project was completed during the fall. Here is the exit report.