Overview
This one-day introductory training provides an overview of artificial intelligence (AI) safety for road vehicles using ISO/PAS 8800:2024. It is designed for managers, engineers, and other professionals seeking to understand the terminology, lifecycle activities, techniques, and methods associated with the safe development of automotive AI and machine-learning systems.
The course examines the use of AI within safety-related vehicle functions, including both AI-enabled functionality and the use of AI as a safety mechanism. Participants receive an introduction to AI safety requirements, assurance arguments, architectural measures, data-related considerations, verification and validation, safety analysis, operational measures, and development tools. The course also explains how ISO/PAS 8800 relates to ISO 26262 and ISO 21448.
The training is provided by SRES automotive autonomy and AI safety experts with extensive experience supporting prototype and production programs for automotive OEMs, suppliers, semiconductor manufacturers, software vendors, and autonomy technology developers.
Intended Audience
This course is intended for managers, engineers, and other professionals seeking a foundational understanding of automotive AI safety and ISO/PAS 8800. It is particularly relevant for:
- Engineering managers and technical leaders overseeing AI-enabled automotive development
- Systems, software, data, AI, and machine-learning engineers working on vehicle functions
- Functional safety and SOTIF professionals expanding their work into AI safety
- Program and product managers supporting AI-enabled automotive systems
- Safety, quality, compliance, and assessment professionals seeking an overview of ISO/PAS 8800
- Professionals at automotive OEMs, suppliers, semiconductor manufacturers, software vendors, and autonomy technology companies
Objectives
By the end of this course, participants will be able to:
- Explain the purpose and scope of ISO/PAS 8800:2024
- Describe how ISO/PAS 8800 relates to ISO 26262 and ISO 21448
- Recognize key differences between AI safety lifecycles and conventionally developed systems
- Understand the role of assurance arguments and AI safety requirements
- Recognize considerations associated with AI technologies, architectural measures, and data
- Explain the roles of verification and validation, safety analysis, and operational measures in maintaining AI safety
- Understand considerations related to AI development frameworks and software tools
- Interpret the objectives-based nature of ISO/PAS 8800 in the context of organizational and product-development responsibilities
Agenda
Below you will find an outline of the training course schedule.
- Introduction to and Scope of ISO/PAS 8800:2024
- Relationship with ISO 26262:2018 and ISO 21448:2022
- AI Safety Lifecycle and Comparison with Conventionally Developed Systems
- Structuring and Evaluating Assurance Arguments for AI Systems
- AI System Development
- Derivation of AI Safety Requirements
- Selection of AI Technologies and Architectural Measures
- Data-Related Considerations
- Verification and Validation of AI Systems
- Safety Analysis of AI Systems
- Operational Measures for Maintaining AI System Safety
- Confidence in the Use of AI Development Frameworks and Software Tools
- Discussion and Live Q&A

