Keysight Launches Work With University of York on SDV AI Safety Verification Technology
TECHWORLD ·
✦ AI Summary
Keysight Technologies and the Centre for Assuring Autonomy (CfAA) at the University of York in the UK have signed a joint research agreement.
The agreement focuses on developing AI system verification methods and evidence data to demonstrate safety and reliability in order to accelerate the safe adoption of AI in software-defined vehicles (SDV).
The two sides will pursue collaboration to narrow the gap between AI safety research and practical engineering implementation and support compliance with international standards such as ISO/PAS 8800.
Keysight Technologies and the Centre for Assuring Autonomy (CfAA) at the University of York in the UK said they have signed a joint research agreement. The purpose of the agreement is to accelerate the safe adoption of AI in software-defined vehicles (SDV).
The collaboration between the two sides will focus on developing practical methods for verifying AI systems and generating evidence data to demonstrate system safety and reliability. The partnership is aimed at developing verification methods and evidence data to make AI in SDV safer to deploy.
Keysight said the collaboration will help reduce development risks for automakers and component suppliers, support them in meeting increasingly sophisticated industry requirements and regulatory standards, and accelerate the adoption of AI-based automotive systems.
The background to the collaboration is AI's rapid rise as a core technology for advanced driver assistance systems (ADAS), autonomous driving functions, and SDV. As these capabilities advance, automakers and related companies are facing greater pressure, and they must demonstrate the safety, reliability, and intended operation of AI systems throughout the development phase and across the vehicle's entire lifecycle.
The automotive industry faces the challenge of meeting evolving regulatory and safety expectations and securing evidence to bring more intelligent vehicles to market. In particular, establishing evidence that can prove the safety of automotive systems using AI technology is emerging as a key task.
In response, Keysight and CfAA at the University of York will advance a collaboration plan to improve methodologies for building structured AI safety cases and to establish justified confidence in the safety of AI-based automotive systems. The purpose of the collaboration is to narrow the gap between AI safety research and practical engineering implementation.
Simon Burton, Chair of Systems Safety at the University of York, said the automotive industry has entered a decisive turning point in which AI technology is becoming central to vehicle functions. He said that such systems require assurance through a robust data-driven approach, and that for this reason, Keysight's support for CfAA is appropriate.
In addition, CfAA has unveiled a range of frameworks and guidelines used by industrial safety experts in the transportation sector. Professor Burton said the collaboration marks an opportunity to turn AI safety principles into engineering practices that can be applied in safety-critical environments.
Lucas Kloeze, head of Keysight's Automotive AI Solutions Center, said automotive companies need practical and scalable ways to build trust in AI-based systems. He said that to this end, the company will combine the safety assurance research it is carrying out with the University of York and Keysight's comprehensive AI verification framework to help engineering teams generate structured AI safety evidence and support compliance with international standards such as ISO/PAS 8800, while also helping them deploy trustworthy AI technologies.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407282
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Source: TECHWORLD
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