Navigating Safety in AI-Driven Autos

This chapter explores the intricate challenges of ensuring safety in automotive machine learning systems, contrasting older and newer approaches. It highlights the transparency issues and error diagnosis complexities in systems like Tesla's Full Self-Driving, revealing critical trade-offs in safety engineering.