This initial consolidate draft reference document for artificial intelligence in regulated automotive safety systems, based on WP.29-195-20, AI-07-08, AI-07-11, AI-07-09, AI-07-10, and AI-07-12, establishes AI use cases and identifies potential risks across the AI lifecycle. The document addresses driving functions including perception, planning and motion control, and end-to-end systems, as well as non-driving functions such as driver assessment and occupant monitoring. It presents six major AI lifecycle risk categories: whole system risks including insufficient documentation and governance; specification risks such as improper definition of intended use; model and training risks including blackbox behaviour and lack of robustness; data management risks such as data poisoning and distribution shift; verification and validation risks including insufficient test coverage; and operational risks including concept drift and limited failure detection. Illustrative risk management practices drawn from standards, research, and regulations are provided for each identified risk to support manufacturers, suppliers, and approval authorities.

AI-Enabled Road Vehicles Managing a Complex Standards Landscape presents the current landscape of standards and regulations for AI in road vehicles, structured overview of core AI governance, engineering, organisational and data governance standards required for EU AI Act conformity and UNECE compliance, and identifies gaps and challenges in alignment. ISO 8800 (2029) Road vehicles Safety of Artificial Intelligence is proposed as a common framework providing navigation and connection across horizontal AI standards with automotive sector-specific needs, reducing fragmentation and enabling transparent, traceable evidence-based assurance for regulators, industry and society while supporting compliance with EU AI Act and future UNECE requirements.

The USA expert submitted initial red-line comments on the consolidated reference document for artificial intelligence in regulated automotive safety systems, marking areas falling outside the Informal Working Group on AI’s terms of reference and bracketing sections pending internal consultations. The USA indicated it will provide additional technical comments following stakeholder consultations.

The IWG on AI will hold its 9th session on June 3–4, 2026 in London. The agenda includes adoption of the agenda and brief report of the 8th session (AI-09-01), consideration of AI use cases, literature review and terms & definitions proposals, guiding questions for WP.29 submission, and discussion of the consolidated draft reference document. The IWG will receive presentations from stakeholders on AI use in the automotive sector and discuss future meetings and work direction beyond the initial mandate.

Proposals for revisions to Section I including highlighted deletions, addition of two paragraphs (2.3, 2.4) in Section II with a request to add safety benefits to para. 2.6, editorial requests for text placement in Section III introducing use case content, small editorial proposals in Section IV’s introduction, merging of whole lifecycle and organizational risks, removal of para. 4.6 (systematic performance disparities) in favour of para. 4.5, revision of para. 6.2 (concept drift), removal or moving of para. 6.5 to whole lifecycle risks, and substantive suggestions in Section V for deletion, merging and restructuring of Table 2 with standard and title references only. Annex 1 critiques the need for extended descriptions.