| Artificial Intelligence: Agenda for the 11th (September 2026) session |
| Reference Number: AI-11-01/Rev.1 |
|
The agenda includes discussion of the status of the draft reference document for transformation into a formal document for the June 2027 WP.29 session, discussion of timeline for formal document submission to WP.29, and upcoming meetings including sessions planned for October 26-27 in Tokyo, November 24-25 online, and January 26-28 in Washington DC. |
| Meeting Sessions: 11th AI session (2 Sep) |
| Document date: 02 Sep 26 |
| Relevant to: WP.29 Discussion Topic | Artificial Intelligence |
| Click here to view the full document file |
| Draft form for AI reference document change requests |
| Reference Number: AI-11-05 |
|
This document provides a draft form for submitting AI reference document change requests. Each request requires a separate submission. The form collects information including the date, agenda item, submitter affiliation, a title of twenty-five words or less, the location of the impacted section or paragraph number, original text, revised text, rationale, and discussion notes. The form includes fields for secretariat use to record whether requests are accepted, accepted as amended, deferred for further discussion, not accepted, or withdrawn. |
| Meeting Sessions: 11th AI session (2 Sep) |
| Document date: 02 Sep 26 |
| Relevant to: WP.29 Discussion Topic | Artificial Intelligence |
| Click here to view the full document file |
| Artificial Intelligence: Illustration of Refreshed Approach to Draft Reference Document |
| Reference Number: AI-11-03 |
|
Document AI-11-03 illustrates a refreshed approach to the draft reference document AI-09-06/Rev.3, based on outcomes from the 10th IWG on AI session (AI-10-04). The document addresses AI uses and potential risks in regulated automotive safety systems. It identifies AI-related risks across lifecycle stages—specification, model training, data management, verification, and operation—and describes risk management practices drawn from standards including ISO 26262, ISO 21448, ISO/PAS 8800, and UN R155/R156. Annex 1 provides illustrative AI use cases in perception, planning, motion control, driver assessment, and vehicle monitoring. Annex 3 tabulates illustrative practices for managing identified risks. The document establishes foundational concepts and terminology to support manufacturers, suppliers, and regulatory authorities in addressing safety implications of AI in automotive systems. |
| Meeting Sessions: 11th AI session (2 Sep) |
| Document date: 28 Aug 26 |
| Relevant to: WP.29 Discussion Topic | Artificial Intelligence |
| Click here to view the full document file |
| Artificial Intelligence: Updated timeline for the work programme |
| Reference Number: AI-11-04 |
| Meeting Sessions: 11th AI session (2 Sep) |
| Document date: 26 Aug 26 |
| Relevant to: WP.29 Discussion Topic | Artificial Intelligence |
| Click here to view the full document file |
| Artificial Intelligence: Report of the 10th (July 2026) session |
| Reference Number: AI-11-02 |
|
The 10th session of the IWG on AI was held on 23 July 2026. The agenda and the brief report of the 9th session (AI-10-02/Rev.1) were adopted. The chair briefed experts on the June 2026 WP.29 session results, noting a 1-year extension of the IWG on AI mandate to prepare a formal document for submission in June 2027, and a 12-week submission deadline for working documents. The proposed schedule (AI-10-03) covering activities until the June 2027 WP.29 session was discussed with no objections. The chairs offered support for a refresh of the draft reference document (AI-10-04), addressing structural shortcomings and separation of core concepts from implementations. Discussion focused on use case location, scope of AI in regulated automotive safety systems, drafting teams, and workflow for expert input. The 12th IWG on AI session is scheduled for 26–27 October 2026 in Tokyo, Japan and online. |
| Meeting Sessions: 11th AI session (2 Sep) |
| Document date: 25 Aug 26 |
| Relevant to: WP.29 Discussion Topic | Artificial Intelligence |
| Click here to view the full document file |