Governing Physical AI Hardware

Analyze the design, governance, and lifecycle of physical AI systems that operate in real-world environments. Compare approaches to hardware-software co-design, edge versus cloud processing, rigorous safety verification, and data governance. Assess how governance structures, industry standards, and lifecycle management influence system reliability, risk management, and innovation velocity in sectors such as transportation, industrial automation, and public safety.