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标题: "Keysight and University of York advance AI vehicle safety - Engineering.com"
原文链接: "https://www.engineering.com/keysight-and-university-of-york-advance-ai-vehicle-safety/"
发布日期: "2026-09-04"
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发现时间: "2026-09-07T23:37:35+08:00"
入库时间: "2026-09-07T15:52:59.953Z"
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---

Research will explore safety cases, scoring methods and auditable evidence to support ISO/PAS 8800 compliance.

[Keysight Technologies, Inc.](https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.keysight.com&esheet=54598122&newsitemid=20260903072390&lan=en-US&anchor=Keysight+Technologies%2C+Inc.&index=1&md5=7f8547be8b876ebf014b89b3408915d4) and the [Centre for Assuring Autonomy (CfAA)](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.york.ac.uk%2Fassuring-autonomy%2F&esheet=54598122&newsitemid=20260903072390&lan=en-US&anchor=Centre+for+Assuring+Autonomy+%28CfAA%29&index=2&md5=06c682c8354b33cb7ff80968ad46a9d6) at the University of York (UK) announced a research collaboration to advance the safe deployment of artificial intelligence (AI) in software-defined vehicles (SDVs). 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.

Artificial intelligence is rapidly becoming a core technology in advanced driver assistance systems (ADAS), automated driving functions, and SDVs. As these capabilities become more sophisticated, automotive organizations face growing pressure to demonstrate that AI systems operate safely, reliably, and as intended, not only during development but throughout the vehicle lifecycle. Providing that proof is one of the industry’s most significant challenges as automakers work to bring increasingly intelligent vehicles to market while meeting evolving regulatory and safety expectations.

Together, Keysight and the CfAA 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’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’s AI Software Integrity Builder](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.keysight.com%2Fzz%2Fen%2Fproduct%2FAX1000A%2Fai-software-integrity-builder.html&esheet=54598122&newsitemid=20260903072390&lan=en-US&anchor=Keysight%27s+AI+Software+Integrity+Builder&index=3&md5=0289932bac10b6189adae3105e50570a), enable enhanced support for AI safety arguments, safety evidence generation, and validation activities aligned with automotive industry expectations.

For more information, visit [keysight.com](https://www.keysight.com/us/en/home.html).