13:12 09.06.2020 •
We bring together scientists from various fields to address the problems of AI's trustworthiness in numerous AI application, ranging from engineering disciplines to medical diagnostics and legal issues. Progress requires a major step-change, along with the holistic approach.

The conference will be focused on AI trustworthiness in mathematical modelling (surrogate modelling and hybrid modelling), reinforcement learning, adversarial networks, sustainability of AI, including problems of transfer learning and data fusion, and AI's resilience. AI standardisation, verification, testing, ethical issues, and neuromorphic systems will be a part of the conference's general theme.


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