This presentation explores various safety approaches, based on fundamental safety principles, and compares traditional automotive safety measures with emerging methodologies tailored for AVs. We will analyze how AI-driven systems, and real-time risk assessment are redefining automotive safety standards. By examining industry best practices, and real-world case studies, this session will provide a comprehensive understanding of how AV safety strategies are evolving to build trust and reliability in autonomous mobility.

In this session, you will get a deeper understanding of

• Different types of safety in AVs, including functional, technical and operational safety
• How traditional safety methods compare to modern AV-specific approaches like AI-driven fail-operational architectures

• How can traditional automotive safety frameworks be adapted to address the unique challenges posed by autonomous driving technologies?
• What are the key challenges in integrating ISO 26262 with AI-driven systems, and how can the industry ensure a comprehensive safety approach?
• As AI-driven systems become more common, what are the biggest hurdles in validating, testing, and certifying these advanced technologies?
• How can the traditional risk methodologies evolve with the autonomous vehicle industry, based on fundamental safety principles?
• With evolving regulations and industry standards, what proactive measures should OEMs and suppliers take to ensure the long-term safety and reliability of autonomous systems?

Presenting the results of our World Cafés: The moderators summarize the key takeaways of their World Café Round Tables on the main stage and share the main findings with all attendees.