Draft working document describing nine common concepts for managing AI risks in automotive regulated products: risk-informed lifecycle approaches, intended purpose and operational assumptions, building upon established sectoral engineering practices, traceability and documentation, data as a safety-relevant engineering artefact, confidence through multiple sources of evidence, organizational capacity and governance, continuous monitoring and improvement, and assurance arguments. The document presumes that existing regulations and established automotive safety engineering practices remain applicable where AI is part of a regulated product, and management of AI risks builds upon those regulations and practices.

Initial proposal for the main contents of Section 4 on AI Risk Management.

Document addresses outstanding issues in Section 4 of the Management of AI Risks in Automotive, including whether X+ model or other relevant models are cited or referenced, and whether human oversight and system controllability should be added as a new entry under para. 4.2.10. These issues will be discussed at the 13th IWG meeting on 14 December.