1. Introduction

As artificial intelligence (AI) and machine learning (ML) become integral to automotive systems—ranging from Advanced Driver Assistance Systems (ADAS) to Automated Driving Systems (ADS)—traditional safety standards like ISO 26262 and ISO 21448 (SOTIF) require specialized extensions. ISO/PAS 8800 provides the necessary framework to address the unique risks associated with AI, specifically focusing on the non-deterministic nature of machine learning and the safety implications of data-driven development.

2. The AI Development Lifecycle for Safety

Safety-related AI development shifts the focus from manual coding to data curation and model training. The lifecycle includes:

• Requirements Definition: Defining the Safety Goals and Functional Safety Requirements (FSRs) that the AI component mus ...