How to navigate safety, risk and compliance in physical AI

In this webcast, panelists discuss the critical aspects of safety, risk and compliance in physical AI applications and the strategies needed to scale with confidence.

Physical AI is the next frontier of AI innovation, but realizing its value at scale requires organizations to address critical safety, risk and compliance challenges. In this webcast, hear from EY, NVIDIA and industry leaders as they discuss key considerations for deploying physical AI applications responsibly, including leading practices for safety assurance in autonomous environments, regional regulatory requirements, and cybersecurity strategies for robotics, edge and operational technology (OT) systems.

Learning outcomes:

• Understand the safety, risk and compliance considerations required to scale physical AI in real-world environments.
• Explore leading practices for safety assurance, including testing, validation and incident response in autonomous operations.
• Gain insights into evolving regulatory and cybersecurity requirements for physical AI, robotics, edge and OT systems, supported by NVIDIA.
• Learn how organizations can establish governance, accountability and risk management frameworks to enable trusted physical AI deployment at scale.

Panelists will feature leaders from EY, NVIDIA and emerging technology companies.

This webcast is part of the Physical AI with NVIDIA webcast series, providing practical insights and real-world use cases to help leaders accelerate adoption and scale physical AI with confidence.