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of interest in research and whether these should be declared (and if so how). Strongly held theoretical, ethical, political, or religious views can bias researchers in ways similar to financial ties to external
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-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis
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Ethical Dimensions: AI has a structural tendency to individualise learning and thereby reduce students' incentives to attend campus. The project treats that tension as a core research problem: how can AI
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D