TITLE: Building trustworthy AI systems with reliable components
ABSTRACT: AI medical systems, designed to support diagnosis, therapy planning and monitoring, have a long history, but recently they received a renewed strong attention due to the advancements in machine and deep learning and to the large and increasing availability of digital data. The need of protecting citizens, providing them with safeguards against misuse of AI approaches, and in particular of data-driven technologies, has pushed towards the implementation of “trustworthy” AI systems, lawful, ethical and robust. This talk will discuss how components, based on reliability principles, may provide the basis for the design and implementation of successful AI solutions. Finally, the talk will advocate that only a proper socio-technical approach will eventually provide trustworthy systems.