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methodologies for assessing the robustness and safety of fully human-operated, AI-assisted human-operated and autonomous systems, considering risk assessment aligned with the EU AI Act, reliability and robustness
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TRAINING: This work will start with a study on controlled data sharing methods in federated environments. Existing solutions will be tested for creating data spaces that align with the technical and
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the lifecycle of AI systems, from data preparation to model use, monitoring, and updating, should be aligned with human activities, organisational processes, and decision-making in industrial contexts
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