Keysight Technologies and the Centre for Assuring Autonomy (CfAA) at the University of York announced collaboration, will be geared towards exploring techniques that can enable the safe implementation of artificial intelligence in software-defined vehicles (SDVs). The collaboration will create validation techniques that will create evidences of safety and reliability that would enable automotive businesses to meet the current requirements, mitigate risks and speed up the automotive technologies empowered by artificial intelligence. Artificial intelligence is becoming more and more important in advanced driver assistance systems (ADAS), automated driving and SDVs to prove their safety and reliability. The collaboration will bridge AI safety research and engineering by developing structured AI safety cases, measurable safety-scoring methodologies and auditable evidence aligned with industry standards, including ISO/PAS 8800.
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“The automotive industry is at a pivotal point where AI technologies are becoming increasingly integral to vehicle functionality. This collaboration is another way we are supporting the advancement of practice methods that help translate AI safety principles into engineering practices that can be applied in safety-critical environments,” said Simon Burton, Chair in Systems Safety, University of York. “Automotive organizations need practical and scalable ways to build confidence in AI-enabled systems. By combining leading research in safety assurance with Keysight’s holistic AI Validation Framework, we aim to develop methodologies that help engineering teams generate structured evidence for AI safety cases and support the deployment of trustworthy AI technologies in conformance with international standards such as ISO/PAS 8800,” said Lukas Klose, Head of the Automotive AI Solution Center, Keysight.
