Keysight, University of York Joint Research on SDV AI Safety Validation
Published2026.09.22 09:37
As safety validation of automotive AI systems has emerged as a critical challenge amid strengthened global regulations, Keysight Technologies is partnering with a British academic institution to develop methodologies for establishing AI safety cases in the software-defined vehicle (SDV) field.This agreement focuses on generating evidence data to demonstrate the safety and reliability of AI systems, and narrowing the gap between AI safety research and practical engineering applications.
△Development of evidence-based approaches supporting compliance with ISO/PAS 8800 requirements △Exploration of measurable safety assessment methodologies based on academic research and industry standards △Establishment of practical frameworks for generating auditable AI safety evidence.
The derived methodologies are expected to be utilized by engineering teams to efficiently demonstrate AI safety throughout the entire product lifecycle.
He added, "CfAA has been disclosing frameworks and guidelines already being utilized by industrial safety experts in the transportation sector, and this collaboration will serve as an opportunity to translate AI safety principles into engineering practice."
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