LEADERs Event: AI Challenges in the Deployment of Advanced Driver-Assistance Systems

This presentation will help attendees learn about integrating AI in auto industry. While AI has been able to achieve remarkable success over the last 10 years, can it really be trusted?  What does trustworthy AI look like in the context of connected vehicles and advanced driver-assistance systems (ADAS)?  To create an ADAS for all, it’s paramount that the AI systems in the vehicle be trusted and work for everyone.  This is especially important given the nature of ADAS as a safety-critical, cyber-physical, and people-centric system of systems.  In this talk, the presenter will outline a number of challenges in building AI systems which could potentially be deployed in future ADAS.

Speaker Dr. Jacob Bond leads trustworthy AI research at General Motors R&D.  In addition to his work on ensuring AI systems in the vehicle can be trusted, his research looks at how to keep AI systems private and how to ensure cloud and vehicle systems can establish secure communications.  After receiving a Ph.D. in computational mathematics and cryptography from Purdue University, he joined General Motors’ Product Cybersecurity organization, focusing on applications of public-key cryptography.  Jacob then began investigating the security of AI systems, moving to GM R&D and expanding his work to encompass the trustworthiness of AI systems.