AI integration in automotive safety and management

Developments in artificial intelligence are increasingly being integrated into automotive safety, validation, and management systems.

Initial efforts have focused on the technical foundations of AI safety for software-defined vehicles. Research collaborations, such as the one between Keysight Technologies and the University of York, aim to develop methodologies for structured AI safety cases to meet ISO/PAS 8800 requirements. Simultaneously, advancements in semiconductor technology have seen the achievement of ISO 26262 ASIL-B certification for video codec intellectual property, designed to support safety-critical functions like object detection through real-time fault detection.

As these technologies move into practical application, their utility in fleet management and accident assessment has become evident. AI-powered video telematics are being used to improve driver safety and reduce insurance claims by providing context for vehicle incidents. However, experts have noted limitations in automated systems, particularly regarding vehicle damage assessment. While AI is efficient at visual monitoring, research suggests it may fail to identify internal structural or mechanical issues, leading to recommendations for hybrid models that combine AI efficiency with human engineering judgment.