This roundtable topic will cover the aspects of validating Autonomous technology development as it pertains to field operations, scenario generation and simulation testing. The group discussion will focus on Automotive AI transformation from the heavy-handed physical data collection to a more sophisticated synthetic data approach. It will include moderating the challenges and benefits of using world foundation models to generating a broad range of synthetic data for training, testing and (most importantly) validating Autonomy systems. We will explore the key safety, regulatory considerations of real world and synthetic data for commercially deploying products with varying degrees of Autonomy. Part of the conversation will revolve around the Human in the Loop (HiTL) aspect of the Autonomy testing and validation workflows, and how the group sees further evolution in this space over the span of next 5 years.
