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Featured in GovTech on AR, AI, and first-responder training
Government Technology published a story on how augmented and virtual reality paired with AI could reduce training risks for firefighters, highlighting George Mason University research—including collaboration with the Fairfax Fire Department and NSF EAGER–supported work led by Prof. Craig (Lap-Fai) Yu and Prof. Joel Martin.
Overview
The piece discusses training-related risks for first responders, the potential of AR and AI for safer training, and how GMU researchers are exploring responsive simulations that account for trainee movement and actions—work that connects to our broader efforts in immersive systems and human–AI collaboration for public safety.