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Methodological Framework for Developing Unerring Safety-critical Ai-Based Systems

CORDIS · observation · Publication date unknown

ing Unerring Safety-critical Ai-Based Systems "Automation is one of the key technical levers to enable the vision of a Digital European Sky. To enable automation of complex tasks, algorithms based on Artificial Intelligence (AI), in particular Machine Learning (ML), are necessary. However, to develop reliable AI Solutions for safety critical tasks novel development methods are needed since traditional development approaches do not consider the particularities of AI development. The goal of the MEDUSA project is to create a model-based framework for the development of safe, secure and transparent-by-construction AI Systems based on data- and model-requirements specified in the EASA Concept Papers. Baseline of the approach are Operational Domain Models of the systems derived from informal descriptions of the use cases. The models are created using a dedicated tool with the capabilities to create structured and formalized domain models as representation. Based on these models, scenario descriptions are generated for the creation of training and test data. The generation of scenarios ori

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recordType

award

status

SIGNED

region

EU

value

1999155.25

unit

EUR