This document contributes to consolidated text and a risk catalogue for artificial intelligence in the automotive sector. It defines AI as a field of computer science focused on creating systems capable of performing tasks requiring human intelligence, including learning, reasoning, problem-solving, natural language processing, and decision-making. High-priority AI use cases include perception, planning, and motion-control driving functions, as well as driver assessment systems. The document identifies 14 risks organized across five lifecycle stages: AI and use case specification, model architecture and training processes, data specification and management, verification and validation, and operation and in-use monitoring. It provides detailed risk descriptions and references emergent practices for managing these risks, including ISO/PAS 8800, NIST AI RMF, and EU AIA approaches. Lower-priority use cases referenced include AI-06-09 for periodic technical inspection and AI-06-12 for cybersecurity threat detection.