This webinar will provide attendees with a comprehensive understanding of the challenges and opportunities associated with integrating artificial intelligence (AI) into safety-critical systems, while also offering practical insights and strategies for ensuring the continued safety and reliability of such systems.
Developing safety-critical systems follows a well-known V-model, moving from safety goals to safety requirements, system, software and hardware design to obtain a system that is intended to be safe by construction. The functional safety management (FSM) methodology defines a systematic approach for developing safety-critical systems.
Using AI to perform functionalities that implement safety requirements creates new requirements for traditional FSM. This is especially true given that the development of AI-based systems crashes head-on with traditional safety development processes.
This webinar will provide an overview of FSM and the challenge of integrating AI into it. It will also introduce a AI-FSM lifecycle that considers the updates needed to traditional FSM to support the safe development of AI in safety-critical systems.
Speaker information
Javier Fernández is part of IKERLAN's cybersecurity and dependability team. His main research topics include functional safety, artificial intelligence, reliability and high-performance embedded computing platforms. He holds his PhD in computer architecture from the Universitat Politècnica de Catalunya - BarcelonaTech in collaboration with the Barcelona Supercomputing Center and IKERLAN technological research centre.
Irune Yarza (IKERLAN) is an industrial electronic and automation engineer who gained her bachelor’s degree at the University of Deusto (Spain), master’s in advanced electronic systems at the ETSI in Bilbao (Spain), and PhD in computer science at the University of Oldenburg (Germany). She joined IKERLAN as a researcher in 2015, becoming part of the cybersecure and dependable embedded systems area. With her participation in European projects, her main research activity focuses on functional safety, and she has been recently delved into AI-based safety-critical embedded systems. Additionally, she has participated in various R&D projects in the field of real-time safety-critical embedded systems, mainly in the lift and automotive sectors. She holds the functional safety engineer certification from TÜV Rheinland according to the IEC-61508 and ISO-26262 standards.