Introduction of ISO/PAS 8800

Functional safety for AI in road vehicles

ISO/PAS 8800:2024 entitled "Road vehicles - Safety and artificial intelligence" is a publicly available specification of the International Organization for Standardization (ISO).

   Tip: Do you know what the abbreviation "PAS" means?
   PAS stands for "Public Available Specification" and is not a standard.
   It will therefore not be published as DIN standard.

It was published in December 2024 and deals with safety-critical systems in production vehicles that use artificial intelligence (AI) or machine learning (ML). Mopeds and special vehicles such as those for people with disabilities are excluded.

The specification comprises 15 main chapters and 8 annexes and covers the following topics:

  • Definition of AI elements: Clarification of what counts as an AI element in the vehicle context, e.g. trained AI models or AI systems.
  • Development of safety requirements: Derivation of safety requirements based on safety-relevant properties of specific AI technologies.
  • Data management: Consideration of the quality and completeness of the data available for the AI system.
  • Development of error prevention measures: Development of measures to prevent and mitigate safety-related errors.
  • Verification and validation techniques: Determination of techniques for verification and validation of AI systems.
  • Life cycle management: Consideration of all relevant life cycle phases, including post-market measures.
  • Safety analysis: Performing safety analyses for AI systems.
  • Use of software tools: Demonstrating confidence in the use of development frameworks and software tools for AI model development.

These elements should help to create a convincing safety argument for the absence of inappropriate risks.

ISO/PAS 8800 complements existing standards such as the ISO 26262-* series (functional safety) and ISO 21448 (safety of intended functionality, SOTIF). It extends these standards to include specific requirements for AI and ML systems used in safety-critical applications. Concepts such as bias, prediction accuracy, robustness and generalization are taken into account.


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Author's note

This article has been machine translated into English.
 

Published on 11.06.2025
Category: Insider-Standards, Standards

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