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

Keysight Technologies Forms Research Partnership for AI Safety in Automotive Systems

Keysight Technologies has announced a research collaboration with the Centre for Assuring Autonomy at the University of York to advance AI safety assurance for software-defined vehicles1

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. The partnership aims to develop practical methods for validating AI systems and generating evidence needed to demonstrate their safety and reliability. This collaboration addresses a critical need as automakers and suppliers face emerging industry requirements for AI-enabled automotive systems.

Bridging Academic Research and Industry Engineering Needs

The collaboration brings together the University of York's internationally recognized expertise in safety engineering and complex systems assurance with Keysight Technologies' AI validation techniques2

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. The partnership is designed to bridge the gap between AI safety research and practical engineering by advancing methodologies for structured AI safety cases. Simon Burton, Chair in Systems Safety at the University of York, emphasized that the automotive industry is at a pivotal point where AI technologies are becoming increasingly integral to vehicle functionality, making robust, evidence-based evaluation approaches essential1

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Focus on ISO/PAS 8800 Compliance and Safety-Scoring Methodologies

The research will concentrate on creating evidence-driven approaches to support implementation of ISO/PAS 8800 requirements, a critical automotive industry standard for AI systems1

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. The collaboration will explore measurable safety-scoring methodologies grounded in academic research and industry standards, while developing practical frameworks for generating auditable AI safety evidence2

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. These methodologies are intended to support the process of building AI safety cases throughout the product lifecycle, helping engineering teams demonstrate justified AI safety more efficiently.

Reducing Development Risk and Accelerating AI Deployment

Lukas Klose, Head of the Automotive AI Solution Center at Keysight Technologies, stated that the partnership aims to develop methodologies helping engineering teams generate structured evidence for AI safety cases while supporting deployment of AI technologies in conformance with international standards1

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. The work is specifically designed to enable automakers to reduce development risk and accelerate the deployment of AI-enabled automotive systems2

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. The resulting methodologies will improve confidence in AI systems validation and help teams demonstrate safety more efficiently.

Implications for Keysight's AI Software Integrity Builder

The research is expected to directly inform future development of Keysight Technologies' AI Software Integrity Builder, enabling enhanced support for AI safety arguments, safety evidence generation, and validation activities aligned with automotive industry expectations2

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. This integration suggests that the collaboration's outcomes will translate into practical tools for automotive engineers working on AI systems. As software-defined vehicles continue to evolve and AI becomes more deeply embedded in vehicle functionality, standardized approaches to safety validation will become increasingly critical for the industry's ability to deploy these technologies at scale while maintaining public trust and regulatory compliance.