Keysight Technologies Partners with University of York to Advance AI Safety in Software-Defined Vehicles

Keysight partners with University of York on AI safety research By Investing.com

SANTA ROSA, Calif. - Keysight Technologies Inc. (NYSE:KEYS) announced a research collaboration with the Centre for Assuring Autonomy at the University of York to develop validation methods for artificial intelligence systems in software-defined vehicles. The partnership will focus on creating practical methods for validating AI systems and generating evidence to demonstrate their safety and reliability, according to a press release statement. The research aims to help automakers and suppliers meet industry requirements for AI-enabled automotive systems. The collaboration will work on developing evidence-driven approaches to support implementation of ISO/PAS 8800 requirements, exploring safety-scoring methodologies, and creating frameworks for generating auditable AI safety evidence. The methodologies are intended to support the process of building AI safety cases throughout the product lifecycle. The University of York conducts research in safety engineering and assurance of complex systems across transport and automotive domains. The collaboration combines the university's academic expertise with Keysight's AI validation techniques. "The automotive industry is at a pivotal point where AI technologies are becoming increasingly integral to vehicle functionality," said Simon Burton, Chair in Systems Safety at the University of York. "Ensuring these systems can be evaluated using robust, evidence-based approaches is essential." Lukas Klose, Head of the Automotive AI Solution Center at Keysight, said the partnership aims to develop methodologies that help engineering teams generate structured evidence for AI safety cases and support deployment of AI technologies in conformance with international standards such as ISO/PAS 8800. The research is expected to inform future development of Keysight's AI Software Integrity Builder and enable support for AI safety arguments and validation activities aligned with automotive industry expectations. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Keysight Technologies, Inc. Collaborates With Centre For Assuring Autonomy At University Of York To Advance AI Safety Assurance For Software-Defined Vehicles

Keysight Technologies, Inc. announced a research collaboration with the Centre for Assuring Autonomy at the University of York to advance the safe deployment of artificial intelligence in software-defined vehicles. The collaboration will focus on developing practical methods for validating AI systems and generating the evidence needed to demonstrate their safety and reliability. The work is designed to enable automakers and suppliers to meet emerging industry requirements while reducing development risk and accelerating the deployment of AI-enabled automotive systems. Together, Keysight Technologies, Inc. and the Centre for Assuring Autonomy will help bridge the gap between AI safety research and practical engineering by advancing methodologies for structured AI safety cases and building justified confidence in the safety of AI-enabled automotive systems. The research will focus on the creation of evidence-driven approaches to support the implementation of ISO/PAS 8800 requirements, exploring measurable safety-scoring methodologies grounded in academic research and industry standards, and creating practical frameworks for generating auditable AI safety evidence. The resulting methodologies are intended to support the process of building AI safety cases, improve confidence in AI validation, and help engineering teams demonstrate justified AI safety more efficiently throughout the product lifecycle. The University of York is internationally recognized for its research in safety engineering, and the assurance of complex systems across domains, including transport and automotive. By combining the university?s academic expertise with Keysight Technologies, Inc.'s AI validation techniques, the collaboration seeks to advance methodologies applicable to automotive AI development. The research is expected to inform future development of Keysight Technologies, Inc.'s AI Software Integrity Builder, enable enhanced support for AI safety arguments, safety evidence generation, and validation activities aligned with automotive industry expectations.