• Where does AI currently provide the most value in enhancing safety for AVs, and where does it fall short?
• How do we ensure accountability and transparency in AI-driven safety decisions, especially in edge cases or failures?
• What role should standards like ISO 8800 play in validating the safety of AI systems used in AVs?
• In what way can AI truly replace traditional deterministic systems in safety-critical applications?
• How can we trust AI with safety-critical decisions in autonomous driving?

AI is at the core of autonomous driving, powering perception, decision-making, and now – safety assurance. This presentation explores how AI enhances AV resilience and safety, both as a functional enabler and as a tool for safety analysis. We’ll introduce ISO 8800, the emerging standard for AI safety in automotive systems, and discuss its integration with existing frameworks like ISO 26262. Pros and cons of AI in safety-critical roles will be explored, alongside practical examples of AI used in hazard analysis and risk assessment.

In this session, you will:

• Understand the role of ISO 8800 in guiding the safe development and deployment of AI in AVs
• Evaluate the strengths and limitations of using AI to enhance both AV functionality and system safety
• Explore how AI is being leveraged for proactive safety analysis and risk assessment in the AV development lifecycle