CONTRAST

Our visions of future Cyber-Physical Systems (CPS) are enabled by automation, interconnection, and AI. However, without being trustworthy, future Cyber-Physical Systems will hardly become an economic success and market introduction slow or even impossible in cases where safety cannot be guaranteed. To address this important challenge and ensure trustworthy systems being made in Europe, CONTRAST sets out to develop a runtime assurance approach for ensuring trustworthiness of complex CPS with AI and ML components. The approach shall enable continuous optimization of system performance while guaranteeing key properties of trustworthiness