AV DEVELOPMENT USE CASE

Generative AI tools have the potential to speed up AV development, supporting three critical layers of R&D. In this session, attendees will learn about the ways in which generative AI can support autonomous vehicles and autonomous driving by looking at:

• How to create virtual environments and simulate real-world scenarios allowing AVs to learn and adapt in a safe and controlled environment.
• Generating high volumes of synthetic data that represent real-world driving scenarios, thus eliminating the need for expensive and time-consuming field tests.
• Creating sophisticated and practical algorithms that can be used to train decision-making models.

EXPERT PANEL DISCUSSION

The industry agrees that generative AI has powers to transform product development and process automation for the automotive industry. The first step in this direction is safe and effective deployment. This session will provide attendees valuable insight into some of the automotive industry’s burning questions including:

• What is the most effective way to deploy generative AI models so that they can be trusted with in safety-critical areas?
• Should we develop our own fine-tuned generative model or use a widely used models?
• What are the benefits of using a ready-made generative model vs. developing an in-house generative model?
• What blockers will we face if we try to develop our own fine-tuned model?
• What do we need to consider from a regulatory, governance and data privacy point of view?