Building Safe and Reliable Autonomous Systems

Explore techniques for developing safe and reliable autonomous systems using cutting-edge machine learning in this 44-minute Stanford webinar. Gain insights from Dr. Anthony Corso on building trustworthy AI for critical applications in healthcare, transportation, and infrastructure. Discover the importance of establishing confidence in AI behavior and robustness for successful societal adoption. Learn about Dr. Corso's research on verifiably robust autonomy and AI applications for climate change. Access additional resources, including Dr. Corso's course on designing reliable AI systems and his personal website for further information on his work as executive director of the Stanford Center for AI Safety and associate director of research for the SAIL-Toyota Center.