Artificial intelligence (AI) is moving beyond abstraction and into large-scale deployment. The question for organizations is no longer whether to adopt AI, but how to embed it into products, operations, and services to create measurable value. This change is driving the rise of “Physical AI,” AI powered machines that can sense, understand, and interact with the physical world to achieve business objectives for these organizations.
Unlike generative AI applications that exist in digital environments and produce text, images, or software code, Physical AI uses cameras, sensors, and other technologies to perceive and act within the physical world. From humanoid robots and autonomous vehicles to manufacturing equipment, drones, medical devices, and smart infrastructure, the adoption of Physical AI is increasingly influencing the way we work, interact in the real-world, and make decisions. It can increase productivity, enhance safety, optimize supply chains, and open the door to entirely new products and services. However, moving towards the deployment of Physical AI can present a host of new operational, safety, and governance challenges.
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Read “Practical Steps to Reduce Risk as AI Moves into the Physical World," authored by Chinh H. Pham and Andrew Cull for The AI Journal.