Abstract: Vehicles are becoming software-defined and autonomous-ready, and the cabin is no longer a physical space, but an AI-driven experience hub. Real-time machine learning algorithms power voice assistants, driver monitoring systems, predictive comfort controls, and ADAS interfaces. But who is responsible when these systems get it wrong? The new standard for machine learning and artificial intelligence in road vehicle safety, published in October 2023, answers this question: ISO 8800. It also impacts how in-cabin artificial intelligence systems must be built, evaluated and deployed. In this presentation we will look at the practical junction of ISO 8800 with in-cabin AI design.

• Why traditional ISO 26262 functional safety frameworks were not built for AI/ML behavior and what gaps ISO 8800 fills.
• How safety requirements under ISO 8800 shape the design of AI-enabled driver monitoring, occupant sensing, and adaptive HMI systems
• What designers and UX engineers need to understand about AI safety constraints before features reach production
• Real-world examples of how ASIL-D safety architecture decisions at the silicon level propagate into cabin experience design
• What the ISO 8800 era means for cross-functional collaboration between safety engineers, software architects, and cabin designers