• What does “transparency” mean in the context of AI-driven vehicle behavior, and how can it be achieved without exposing proprietary algorithms?
• How should validation and safety assurance methods evolve to account for the probabilistic nature of AI and machine learning systems?
• What role should simulation, scenario-based testing, and real-world data play in certifying AI-based autonomous systems?
• How can we ensure that AI systems remain robust and adaptive across varying geographies, traffic laws, and edge cases?
• What kind of regulatory frameworks or industry standards are needed to align the deployment of AI-driven AVs with public safety and trust?

As autonomous vehicle technology matures, regulatory and non-tariff hurdles – such as differing safety standards, approval processes, and compliance frameworks – are emerging as key challenges to global deployment. This presentation explores how such measures, while not overtly protectionist, can limit market access and slow AV adoption. Focusing on the technical and regulatory landscape rather than politics, we’ll examine what harmonized requirements are needed to enable safe and scalable deployment across regions.

In this session, you will learn more about how:

• Non-tariff measures can act as hidden barriers to AV market entry
• Harmonized safety and regulatory standards are critical for scaling
• Cross-border collaboration is essential for global AV deployment